Overview

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Dataset statistics

Number of variables134
Number of observations26208
Missing cells112200
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 MiB
Average record size in memory1.1 KiB

Variable types

DateTime1
Numeric114
Categorical18
Boolean1

Dataset

DescriptionSix-Month Monitoring Dataset from a 10-Turbine Onshore Wind Farm in Greece.
URLhttps://doi.org/10.5281/zenodo.14546479

Alerts

Gear Oil Temp. Avg. [°C] has constant value "999.0" Constant
Gear Bearing Temp. Avg. [°C] has constant value "999.0" Constant
Gear Oil TemperatureLevel2_3 Avg. [°C] has constant value "0.0" Constant
Ambient WindSpeed Estimated Avg. [m/s] has constant value "0.0" Constant
Grid Production PossibleInductive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Max. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Min. [var] has constant value "0.0" Constant
Grid Production PossibleInductive StdDev [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Max. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Min. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive StdDev [var] has constant value "0.0" Constant
Reactive power set point [var] has constant value "0.0" Constant
Spinner Temp. SlipRing Avg. [°C] has constant value "999.0" Constant
HourCounters Average Total Avg. [h] has constant value "600.0" Constant
Active power generator 0, Total accumulated [W] is highly overall correlated with Active power generator 1, Total accumulated [W] and 23 other fieldsHigh correlation
Active power generator 1, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Active power generator 2, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Active power limit [W] is highly overall correlated with Active power limit source and 34 other fieldsHigh correlation
Active power limit source is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Ambient Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Ambient WindDir Absolute Avg. [°] is highly overall correlated with Avg. direction [°] and 1 other fieldsHigh correlation
Ambient WindDir Relative Avg. [°] is highly overall correlated with missing_dataHigh correlation
Ambient WindSpeed Avg. [m/s] is highly overall correlated with Ambient WindSpeed Max. [m/s] and 45 other fieldsHigh correlation
Ambient WindSpeed Max. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 43 other fieldsHigh correlation
Ambient WindSpeed Min. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 43 other fieldsHigh correlation
Ambient WindSpeed StdDev [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 19 other fieldsHigh correlation
Ambient ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Avg. direction [°] is highly overall correlated with Ambient WindDir Absolute Avg. [°] and 1 other fieldsHigh correlation
Blades PitchAngle Avg. [°] is highly overall correlated with Active power limit [W] and 41 other fieldsHigh correlation
Blades PitchAngle Max. [°] is highly overall correlated with Active power limit [W] and 47 other fieldsHigh correlation
Blades PitchAngle Min. [°] is highly overall correlated with Active power limit [W] and 39 other fieldsHigh correlation
Blades PitchAngle StdDev [°] is highly overall correlated with Controller VCP ChokecoilTemp. Avg. [°C] and 29 other fieldsHigh correlation
Controller Ground Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Controller Hub Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 24 other fieldsHigh correlation
Controller Top Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Controller VCP ChokecoilTemp. Avg. [°C] is highly overall correlated with Active power limit [W] and 54 other fieldsHigh correlation
Controller VCP Temp. Avg. [°C] is highly overall correlated with Ambient Temp. Avg. [°C] and 15 other fieldsHigh correlation
Controller VCP WaterTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
First Alarm parameter 1 in 10 min frame is highly overall correlated with missing_dataHigh correlation
First Alarm parameter 2 in 10 min frame is highly overall correlated with missing_dataHigh correlation
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] is highly overall correlated with Active power limit [W] and 57 other fieldsHigh correlation
Gear Bearing TemperatureHSMiddle Avg. [°C] is highly overall correlated with Active power limit [W] and 57 other fieldsHigh correlation
Gear Bearing TemperatureHSRotorEnd Avg. [°C] is highly overall correlated with Active power limit [W] and 57 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] is highly overall correlated with Active power limit [W] and 58 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] is highly overall correlated with Active power limit [W] and 58 other fieldsHigh correlation
Gear Oil TemperatureBasis Avg. [°C] is highly overall correlated with Active power limit [W] and 57 other fieldsHigh correlation
Gear Oil TemperatureLevel1 Avg. [°C] is highly overall correlated with Active power limit [W] and 47 other fieldsHigh correlation
Generator 1 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Generator 2 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Generator Bearing Temp. Avg. [°C] is highly overall correlated with Active power limit [W] and 56 other fieldsHigh correlation
Generator Bearing2 Temp. Avg. [°C] is highly overall correlated with Active power limit [W] and 57 other fieldsHigh correlation
Generator CoolingWater Temp. Avg. [°C] is highly overall correlated with Active power limit [W] and 49 other fieldsHigh correlation
Generator Phase1 Temp. Avg. [°C] is highly overall correlated with Active power limit [W] and 58 other fieldsHigh correlation
Generator Phase2 Temp. Avg. [°C] is highly overall correlated with Active power limit [W] and 58 other fieldsHigh correlation
Generator Phase3 Temp. Avg. [°C] is highly overall correlated with Active power limit [W] and 58 other fieldsHigh correlation
Generator RPM Avg. [RPM] is highly overall correlated with Active power limit [W] and 58 other fieldsHigh correlation
Generator RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 58 other fieldsHigh correlation
Generator RPM Min. [RPM] is highly overall correlated with Active power limit [W] and 54 other fieldsHigh correlation
Generator RPM StdDev [RPM] is highly overall correlated with Blades PitchAngle Max. [°] and 5 other fieldsHigh correlation
Generator SlipRing Temp. Avg. [°C] is highly overall correlated with Controller Top Temp. Avg. [°C] and 15 other fieldsHigh correlation
Grid Busbar Temp. Avg. [°C] is highly overall correlated with Blades PitchAngle Max. [°] and 45 other fieldsHigh correlation
Grid InverterPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Grid Production CosPhi Avg. is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 45 other fieldsHigh correlation
Grid Production CurrentPhase1 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Grid Production CurrentPhase2 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Grid Production CurrentPhase3 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly overall correlated with missing_dataHigh correlation
Grid Production PossiblePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 44 other fieldsHigh correlation
Grid Production PossiblePower Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 42 other fieldsHigh correlation
Grid Production PossiblePower Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 38 other fieldsHigh correlation
Grid Production PossiblePower StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 35 other fieldsHigh correlation
Grid Production Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Grid Production Power Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Grid Production Power Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid Production Power StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production ReactivePower Avg. [W] is highly overall correlated with Grid Production Power Avg. [W] and 8 other fieldsHigh correlation
Grid Production ReactivePower Max. [W] is highly overall correlated with Blades PitchAngle StdDev [°] and 33 other fieldsHigh correlation
Grid Production ReactivePower Min. [W] is highly overall correlated with Grid Production ReactivePower Avg. [W] and 4 other fieldsHigh correlation
Grid Production ReactivePower StdDev [W] is highly overall correlated with Grid Production ReactivePower Min. [W] and 2 other fieldsHigh correlation
Grid Production VoltagePhase1 Avg. [V] is highly overall correlated with Grid Production VoltagePhase2 Avg. [V] and 2 other fieldsHigh correlation
Grid Production VoltagePhase2 Avg. [V] is highly overall correlated with Grid Production VoltagePhase1 Avg. [V] and 2 other fieldsHigh correlation
Grid Production VoltagePhase3 Avg. [V] is highly overall correlated with Grid Production VoltagePhase1 Avg. [V] and 2 other fieldsHigh correlation
Grid RotorInvPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 59 other fieldsHigh correlation
Grid RotorInvPhase2 Temp. Avg. [°C] is highly overall correlated with Active power limit [W] and 61 other fieldsHigh correlation
Grid RotorInvPhase3 Temp. Avg. [°C] is highly overall correlated with Active power limit [W] and 59 other fieldsHigh correlation
Grid ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Grid on hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
HVTrafo AirOutlet Temp. Avg. [°C] is highly overall correlated with Generator SlipRing Temp. Avg. [°C] and 5 other fieldsHigh correlation
HVTrafo Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
HVTrafo Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 46 other fieldsHigh correlation
HVTrafo Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
HourCounters Average AlarmActive Avg. [h] is highly overall correlated with Active power limit [W] and 38 other fieldsHigh correlation
HourCounters Average AmbientOk Avg. [h] is highly overall correlated with Active power limit [W] and 7 other fieldsHigh correlation
HourCounters Average Gen1 Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
HourCounters Average Gen2 Avg. [h] is highly overall correlated with HourCounters Average Gen1 Avg. [h] and 2 other fieldsHigh correlation
HourCounters Average GridOk Avg. [h] is highly overall correlated with Active power limit [W] and 7 other fieldsHigh correlation
HourCounters Average GridOn Avg. [h] is highly overall correlated with Active power limit source and 3 other fieldsHigh correlation
HourCounters Average Run Avg. [h] is highly overall correlated with Active power limit [W] and 38 other fieldsHigh correlation
HourCounters Average ServiceOn Avg. [h] is highly overall correlated with Active power limit [W] and 7 other fieldsHigh correlation
HourCounters Average TurbineOk Avg. [h] is highly overall correlated with Active power limit [W] and 7 other fieldsHigh correlation
HourCounters Average WindOk Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 41 other fieldsHigh correlation
HourCounters Average Yaw Avg. [h] is highly overall correlated with missing_dataHigh correlation
Hydraulic Oil Temp. Avg. [°C] is highly overall correlated with missing_dataHigh correlation
Nacelle Temp. Avg. [°C] is highly overall correlated with Ambient Temp. Avg. [°C] and 19 other fieldsHigh correlation
Power factor set point is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Power factor set point source is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Production LatestAverage Active Power Gen 0 Avg. [W] is highly overall correlated with Active power limit [W] and 51 other fieldsHigh correlation
Production LatestAverage Active Power Gen 1 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Production LatestAverage Active Power Gen 2 Avg. [W] is highly overall correlated with HourCounters Average Gen2 Avg. [h] and 1 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 0 Avg. [var] is highly overall correlated with Grid Production Power Avg. [W] and 8 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 1 Avg. [var] is highly overall correlated with HourCounters Average Gen1 Avg. [h] and 2 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 2 Avg. [var] is highly overall correlated with missing_dataHigh correlation
Production LatestAverage Total Active Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Production LatestAverage Total Reactive Power Avg. [var] is highly overall correlated with Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] and 15 other fieldsHigh correlation
Reactive power generator 0,Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Reactive power generator 1, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Reactive power generator 2, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Rotor RPM Avg. [RPM] is highly overall correlated with Active power limit [W] and 57 other fieldsHigh correlation
Rotor RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 58 other fieldsHigh correlation
Rotor RPM Min. [RPM] is highly overall correlated with Active power limit [W] and 54 other fieldsHigh correlation
Rotor RPM StdDev [RPM] is highly overall correlated with Blades PitchAngle Max. [°] and 2 other fieldsHigh correlation
Run hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Service hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Spinner Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
System Logs First Active Alarm No is highly overall correlated with Active power limit [W] and 37 other fieldsHigh correlation
Total Active power [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Total hour counter [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Total reactive power [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Turbine ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Wind ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Yaw hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
missing_data is highly overall correlated with Active power generator 0, Total accumulated [W] and 116 other fieldsHigh correlation
Active power limit source is highly imbalanced (96.9%) Imbalance
Power factor set point is highly imbalanced (96.9%) Imbalance
Power factor set point source is highly imbalanced (96.9%) Imbalance
missing_data is highly imbalanced (79.4%) Imbalance
Generator RPM Max. [RPM] has 850 (3.2%) missing values Missing
Generator RPM Min. [RPM] has 850 (3.2%) missing values Missing
Generator RPM Avg. [RPM] has 850 (3.2%) missing values Missing
Generator RPM StdDev [RPM] has 850 (3.2%) missing values Missing
Generator Bearing Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Generator Phase1 Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Generator Phase2 Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Generator Phase3 Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Generator SlipRing Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Generator Bearing2 Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Generator CoolingWater Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Hydraulic Oil Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Gear Oil Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Gear Bearing Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Gear Oil TemperatureBasis Avg. [°C] has 850 (3.2%) missing values Missing
Gear Oil TemperatureLevel1 Avg. [°C] has 850 (3.2%) missing values Missing
Gear Oil TemperatureLevel2_3 Avg. [°C] has 850 (3.2%) missing values Missing
Gear Bearing TemperatureHSRotorEnd Avg. [°C] has 850 (3.2%) missing values Missing
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] has 850 (3.2%) missing values Missing
Gear Bearing TemperatureHSMiddle Avg. [°C] has 850 (3.2%) missing values Missing
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] has 850 (3.2%) missing values Missing
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] has 850 (3.2%) missing values Missing
Nacelle Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Avg. direction [°] has 850 (3.2%) missing values Missing
Rotor RPM Max. [RPM] has 850 (3.2%) missing values Missing
Rotor RPM Min. [RPM] has 850 (3.2%) missing values Missing
Rotor RPM Avg. [RPM] has 850 (3.2%) missing values Missing
Rotor RPM StdDev [RPM] has 850 (3.2%) missing values Missing
Ambient WindSpeed Max. [m/s] has 850 (3.2%) missing values Missing
Ambient WindSpeed Min. [m/s] has 850 (3.2%) missing values Missing
Ambient WindSpeed Avg. [m/s] has 850 (3.2%) missing values Missing
Ambient WindSpeed StdDev [m/s] has 850 (3.2%) missing values Missing
Ambient WindDir Relative Avg. [°] has 850 (3.2%) missing values Missing
Ambient WindDir Absolute Avg. [°] has 850 (3.2%) missing values Missing
Ambient Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Ambient WindSpeed Estimated Avg. [m/s] has 850 (3.2%) missing values Missing
Grid InverterPhase1 Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Grid RotorInvPhase1 Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Grid RotorInvPhase2 Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Grid RotorInvPhase3 Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Grid Production Power Avg. [W] has 850 (3.2%) missing values Missing
Grid Production CosPhi Avg. has 850 (3.2%) missing values Missing
Grid Production Frequency Avg. [Hz] has 850 (3.2%) missing values Missing
Grid Production VoltagePhase1 Avg. [V] has 850 (3.2%) missing values Missing
Grid Production VoltagePhase2 Avg. [V] has 850 (3.2%) missing values Missing
Grid Production VoltagePhase3 Avg. [V] has 850 (3.2%) missing values Missing
Grid Production CurrentPhase1 Avg. [A] has 850 (3.2%) missing values Missing
Grid Production CurrentPhase2 Avg. [A] has 850 (3.2%) missing values Missing
Grid Production CurrentPhase3 Avg. [A] has 850 (3.2%) missing values Missing
Grid Production Power Max. [W] has 850 (3.2%) missing values Missing
Grid Production Power Min. [W] has 850 (3.2%) missing values Missing
Grid Busbar Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Grid Production Power StdDev [W] has 850 (3.2%) missing values Missing
Grid Production ReactivePower Avg. [W] has 850 (3.2%) missing values Missing
Grid Production ReactivePower Max. [W] has 850 (3.2%) missing values Missing
Grid Production ReactivePower Min. [W] has 850 (3.2%) missing values Missing
Grid Production ReactivePower StdDev [W] has 850 (3.2%) missing values Missing
Grid Production PossiblePower Avg. [W] has 850 (3.2%) missing values Missing
Grid Production PossiblePower Max. [W] has 850 (3.2%) missing values Missing
Grid Production PossiblePower Min. [W] has 850 (3.2%) missing values Missing
Grid Production PossiblePower StdDev [W] has 850 (3.2%) missing values Missing
Grid Production PossibleInductive Avg. [var] has 850 (3.2%) missing values Missing
Grid Production PossibleInductive Max. [var] has 850 (3.2%) missing values Missing
Grid Production PossibleInductive Min. [var] has 850 (3.2%) missing values Missing
Grid Production PossibleInductive StdDev [var] has 850 (3.2%) missing values Missing
Grid Production PossibleCapacitive Avg. [var] has 850 (3.2%) missing values Missing
Grid Production PossibleCapacitive Max. [var] has 850 (3.2%) missing values Missing
Grid Production PossibleCapacitive Min. [var] has 850 (3.2%) missing values Missing
Grid Production PossibleCapacitive StdDev [var] has 850 (3.2%) missing values Missing
Active power limit [W] has 850 (3.2%) missing values Missing
Active power limit source has 850 (3.2%) missing values Missing
Reactive power set point [var] has 850 (3.2%) missing values Missing
Power factor set point has 850 (3.2%) missing values Missing
Power factor set point source has 850 (3.2%) missing values Missing
Controller Ground Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Controller Top Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Controller Hub Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Controller VCP Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Controller VCP ChokecoilTemp. Avg. [°C] has 850 (3.2%) missing values Missing
Controller VCP WaterTemp. Avg. [°C] has 850 (3.2%) missing values Missing
Spinner Temp. Avg. [°C] has 850 (3.2%) missing values Missing
Spinner Temp. SlipRing Avg. [°C] has 850 (3.2%) missing values Missing
Blades PitchAngle Min. [°] has 850 (3.2%) missing values Missing
Blades PitchAngle Max. [°] has 850 (3.2%) missing values Missing
Blades PitchAngle Avg. [°] has 850 (3.2%) missing values Missing
Blades PitchAngle StdDev [°] has 850 (3.2%) missing values Missing
HVTrafo Phase1 Temp. Avg. [°C] has 850 (3.2%) missing values Missing
HVTrafo Phase2 Temp. Avg. [°C] has 850 (3.2%) missing values Missing
HVTrafo Phase3 Temp. Avg. [°C] has 850 (3.2%) missing values Missing
HVTrafo AirOutlet Temp. Avg. [°C] has 850 (3.2%) missing values Missing
HourCounters Average Total Avg. [h] has 850 (3.2%) missing values Missing
HourCounters Average GridOn Avg. [h] has 850 (3.2%) missing values Missing
HourCounters Average GridOk Avg. [h] has 850 (3.2%) missing values Missing
HourCounters Average TurbineOk Avg. [h] has 850 (3.2%) missing values Missing
HourCounters Average Run Avg. [h] has 850 (3.2%) missing values Missing
HourCounters Average Gen1 Avg. [h] has 850 (3.2%) missing values Missing
HourCounters Average Gen2 Avg. [h] has 850 (3.2%) missing values Missing
HourCounters Average Yaw Avg. [h] has 850 (3.2%) missing values Missing
HourCounters Average ServiceOn Avg. [h] has 850 (3.2%) missing values Missing
HourCounters Average AmbientOk Avg. [h] has 850 (3.2%) missing values Missing
HourCounters Average WindOk Avg. [h] has 850 (3.2%) missing values Missing
HourCounters Average AlarmActive Avg. [h] has 850 (3.2%) missing values Missing
Total hour counter [h] has 850 (3.2%) missing values Missing
Grid on hours [h] has 850 (3.2%) missing values Missing
Grid ok hours [h] has 850 (3.2%) missing values Missing
Turbine ok hours [h] has 850 (3.2%) missing values Missing
Run hours [h] has 850 (3.2%) missing values Missing
Generator 1 hours [h] has 850 (3.2%) missing values Missing
Generator 2 hours [h] has 850 (3.2%) missing values Missing
Yaw hours [h] has 850 (3.2%) missing values Missing
Service hours [h] has 850 (3.2%) missing values Missing
Ambient ok hours [h] has 850 (3.2%) missing values Missing
Wind ok hours [h] has 850 (3.2%) missing values Missing
Production LatestAverage Active Power Gen 0 Avg. [W] has 850 (3.2%) missing values Missing
Production LatestAverage Active Power Gen 1 Avg. [W] has 850 (3.2%) missing values Missing
Production LatestAverage Active Power Gen 2 Avg. [W] has 850 (3.2%) missing values Missing
Production LatestAverage Total Active Power Avg. [W] has 850 (3.2%) missing values Missing
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 850 (3.2%) missing values Missing
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 850 (3.2%) missing values Missing
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 850 (3.2%) missing values Missing
Production LatestAverage Total Reactive Power Avg. [var] has 850 (3.2%) missing values Missing
Active power generator 0, Total accumulated [W] has 850 (3.2%) missing values Missing
Active power generator 1, Total accumulated [W] has 850 (3.2%) missing values Missing
Active power generator 2, Total accumulated [W] has 850 (3.2%) missing values Missing
Total Active power [W] has 850 (3.2%) missing values Missing
Reactive power generator 0,Total accumulated [var] has 850 (3.2%) missing values Missing
Reactive power generator 1, Total accumulated [var] has 850 (3.2%) missing values Missing
Reactive power generator 2, Total accumulated [var] has 850 (3.2%) missing values Missing
Total reactive power [var] has 850 (3.2%) missing values Missing
System Logs First Active Alarm No has 850 (3.2%) missing values Missing
First Alarm parameter 1 in 10 min frame has 850 (3.2%) missing values Missing
First Alarm parameter 2 in 10 min frame has 850 (3.2%) missing values Missing
Generator RPM Min. [RPM] is highly skewed (γ1 = 37.95522588) Skewed
Rotor RPM Min. [RPM] is highly skewed (γ1 = 50.19172742) Skewed
Ambient WindSpeed Min. [m/s] is highly skewed (γ1 = 50.29337506) Skewed
Grid Production Frequency Avg. [Hz] is highly skewed (γ1 = -48.32279123) Skewed
Grid Production VoltagePhase1 Avg. [V] is highly skewed (γ1 = -21.51558097) Skewed
Grid Production VoltagePhase2 Avg. [V] is highly skewed (γ1 = -21.56535651) Skewed
Grid Production VoltagePhase3 Avg. [V] is highly skewed (γ1 = -21.42429649) Skewed
Blades PitchAngle Min. [°] is highly skewed (γ1 = -37.19079022) Skewed
Blades PitchAngle Max. [°] is highly skewed (γ1 = 37.13753943) Skewed
First Alarm parameter 2 in 10 min frame is highly skewed (γ1 = 65.83816741) Skewed
Timestamp has unique values Unique
Generator RPM Max. [RPM] has 1375 (5.2%) zeros Zeros
Generator RPM Min. [RPM] has 3194 (12.2%) zeros Zeros
Generator RPM Avg. [RPM] has 1820 (6.9%) zeros Zeros
Generator RPM StdDev [RPM] has 1674 (6.4%) zeros Zeros
Avg. direction [°] has 1109 (4.2%) zeros Zeros
Rotor RPM Max. [RPM] has 1696 (6.5%) zeros Zeros
Rotor RPM Min. [RPM] has 4112 (15.7%) zeros Zeros
Rotor RPM Avg. [RPM] has 3031 (11.6%) zeros Zeros
Rotor RPM StdDev [RPM] has 9102 (34.7%) zeros Zeros
Grid Production Power StdDev [W] has 960 (3.7%) zeros Zeros
Grid Production ReactivePower Avg. [W] has 15458 (59.0%) zeros Zeros
Grid Production ReactivePower Min. [W] has 269 (1.0%) zeros Zeros
Grid Production ReactivePower StdDev [W] has 2006 (7.7%) zeros Zeros
Grid Production PossiblePower Avg. [W] has 3054 (11.7%) zeros Zeros
Grid Production PossiblePower Max. [W] has 3011 (11.5%) zeros Zeros
Grid Production PossiblePower Min. [W] has 4558 (17.4%) zeros Zeros
Grid Production PossiblePower StdDev [W] has 3755 (14.3%) zeros Zeros
Blades PitchAngle Avg. [°] has 280 (1.1%) zeros Zeros
Blades PitchAngle StdDev [°] has 7876 (30.1%) zeros Zeros
HourCounters Average GridOk Avg. [h] has 2013 (7.7%) zeros Zeros
HourCounters Average TurbineOk Avg. [h] has 2181 (8.3%) zeros Zeros
HourCounters Average Run Avg. [h] has 4061 (15.5%) zeros Zeros
HourCounters Average Gen1 Avg. [h] has 17406 (66.4%) zeros Zeros
HourCounters Average Gen2 Avg. [h] has 14724 (56.2%) zeros Zeros
HourCounters Average Yaw Avg. [h] has 11508 (43.9%) zeros Zeros
HourCounters Average ServiceOn Avg. [h] has 23284 (88.8%) zeros Zeros
HourCounters Average AmbientOk Avg. [h] has 2232 (8.5%) zeros Zeros
HourCounters Average WindOk Avg. [h] has 5886 (22.5%) zeros Zeros
HourCounters Average AlarmActive Avg. [h] has 21107 (80.5%) zeros Zeros
Production LatestAverage Active Power Gen 0 Avg. [W] has 16049 (61.2%) zeros Zeros
Production LatestAverage Active Power Gen 1 Avg. [W] has 17353 (66.2%) zeros Zeros
Production LatestAverage Active Power Gen 2 Avg. [W] has 14575 (55.6%) zeros Zeros
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 16172 (61.7%) zeros Zeros
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 20587 (78.6%) zeros Zeros
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 22467 (85.7%) zeros Zeros
Production LatestAverage Total Reactive Power Avg. [var] has 10573 (40.3%) zeros Zeros
System Logs First Active Alarm No has 21107 (80.5%) zeros Zeros
First Alarm parameter 1 in 10 min frame has 25066 (95.6%) zeros Zeros
First Alarm parameter 2 in 10 min frame has 25330 (96.6%) zeros Zeros

Reproduction

Analysis started2025-05-15 12:06:14.916832
Analysis finished2025-05-15 12:06:45.904890
Duration30.99 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Timestamp
Date

Unique 

Distinct26208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Minimum2020-01-01 00:00:00
Maximum2020-06-30 23:50:00
Invalid dates0
Invalid dates (%)0.0%
2025-05-15T14:06:45.945015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-15T14:06:46.028310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Generator RPM Max. [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1228
Distinct (%)4.8%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1036.4503
Minimum0
Maximum1904
Zeros1375
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:46.111322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1265
median1175
Q31641
95-th percentile1709
Maximum1904
Range1904
Interquartile range (IQR)1376

Descriptive statistics

Standard deviation635.30776
Coefficient of variation (CV)0.61296502
Kurtosis-1.2058126
Mean1036.4503
Median Absolute Deviation (MAD)472
Skewness-0.60397573
Sum26282306
Variance403615.95
MonotonicityNot monotonic
2025-05-15T14:06:46.188993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1375
 
5.2%
1056 325
 
1.2%
1055 309
 
1.2%
1057 270
 
1.0%
1058 228
 
0.9%
1059 208
 
0.8%
1060 204
 
0.8%
1063 186
 
0.7%
1061 173
 
0.7%
1062 170
 
0.6%
Other values (1218) 21910
83.6%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 1375
5.2%
1 126
 
0.5%
2 62
 
0.2%
3 51
 
0.2%
4 37
 
0.1%
5 36
 
0.1%
6 54
 
0.2%
7 30
 
0.1%
8 41
 
0.2%
9 54
 
0.2%
ValueCountFrequency (%)
1904 1
< 0.1%
1890 1
< 0.1%
1887 1
< 0.1%
1881 1
< 0.1%
1872 1
< 0.1%
1866 1
< 0.1%
1865 1
< 0.1%
1864 1
< 0.1%
1862 1
< 0.1%
1859 1
< 0.1%

Generator RPM Min. [RPM]
Real number (ℝ)

High correlation  Missing  Skewed  Zeros 

Distinct1106
Distinct (%)4.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean854.67016
Minimum0
Maximum65535
Zeros3194
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:46.267725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1104
median1036
Q31260
95-th percentile1609
Maximum65535
Range65535
Interquartile range (IQR)1156

Descriptive statistics

Standard deviation1411.0099
Coefficient of variation (CV)1.6509409
Kurtosis1738.7495
Mean854.67016
Median Absolute Deviation (MAD)442.5
Skewness37.955226
Sum21672726
Variance1990948.9
MonotonicityNot monotonic
2025-05-15T14:06:46.342713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3194
 
12.2%
1042 608
 
2.3%
1041 537
 
2.0%
1040 480
 
1.8%
1039 432
 
1.6%
1038 409
 
1.6%
2 403
 
1.5%
1036 338
 
1.3%
1037 320
 
1.2%
1 308
 
1.2%
Other values (1096) 18329
69.9%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 3194
12.2%
1 308
 
1.2%
2 403
 
1.5%
3 160
 
0.6%
4 125
 
0.5%
5 105
 
0.4%
6 53
 
0.2%
7 43
 
0.2%
8 39
 
0.1%
9 42
 
0.2%
ValueCountFrequency (%)
65535 10
 
< 0.1%
1637 5
 
< 0.1%
1636 17
0.1%
1635 12
 
< 0.1%
1634 12
 
< 0.1%
1633 17
0.1%
1632 19
0.1%
1631 20
0.1%
1630 25
0.1%
1629 36
0.1%

Generator RPM Avg. [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1529
Distinct (%)6.0%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean932.54724
Minimum0
Maximum1648
Zeros1820
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:46.419578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1201
median1055
Q31486
95-th percentile1639
Maximum1648
Range1648
Interquartile range (IQR)1285

Descriptive statistics

Standard deviation606.27681
Coefficient of variation (CV)0.65012986
Kurtosis-1.2879637
Mean932.54724
Median Absolute Deviation (MAD)535
Skewness-0.46599793
Sum23647533
Variance367571.57
MonotonicityNot monotonic
2025-05-15T14:06:46.495656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1049 2778
 
10.6%
0 1820
 
6.9%
1639 1706
 
6.5%
1050 374
 
1.4%
1640 349
 
1.3%
1638 304
 
1.2%
1641 230
 
0.9%
1051 224
 
0.9%
1642 223
 
0.9%
1643 199
 
0.8%
Other values (1519) 17151
65.4%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 1820
6.9%
1 190
 
0.7%
2 152
 
0.6%
3 157
 
0.6%
4 119
 
0.5%
5 112
 
0.4%
6 127
 
0.5%
7 149
 
0.6%
8 135
 
0.5%
9 106
 
0.4%
ValueCountFrequency (%)
1648 1
 
< 0.1%
1647 6
 
< 0.1%
1646 13
 
< 0.1%
1645 54
 
0.2%
1644 133
 
0.5%
1643 199
 
0.8%
1642 223
 
0.9%
1641 230
 
0.9%
1640 349
 
1.3%
1639 1706
6.5%

Generator RPM StdDev [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct559
Distinct (%)2.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean52.907603
Minimum0
Maximum817
Zeros1674
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:46.572316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median19
Q365
95-th percentile207
Maximum817
Range817
Interquartile range (IQR)59

Descriptive statistics

Standard deviation91.294393
Coefficient of variation (CV)1.7255439
Kurtosis20.557743
Mean52.907603
Median Absolute Deviation (MAD)17
Skewness3.9522153
Sum1341631
Variance8334.6661
MonotonicityNot monotonic
2025-05-15T14:06:46.654814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1674
 
6.4%
2 1311
 
5.0%
3 1027
 
3.9%
5 993
 
3.8%
4 879
 
3.4%
6 834
 
3.2%
7 777
 
3.0%
8 702
 
2.7%
9 592
 
2.3%
10 534
 
2.0%
Other values (549) 16035
61.2%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 1674
6.4%
1 273
 
1.0%
2 1311
5.0%
3 1027
3.9%
4 879
3.4%
5 993
3.8%
6 834
3.2%
7 777
3.0%
8 702
2.7%
9 592
 
2.3%
ValueCountFrequency (%)
817 1
 
< 0.1%
796 1
 
< 0.1%
792 1
 
< 0.1%
788 1
 
< 0.1%
787 1
 
< 0.1%
785 3
< 0.1%
784 2
< 0.1%
783 1
 
< 0.1%
780 1
 
< 0.1%
779 3
< 0.1%

Generator Bearing Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct78
Distinct (%)0.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean46.429608
Minimum0
Maximum204
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:46.737108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q137
median46
Q355
95-th percentile74
Maximum204
Range204
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.961374
Coefficient of variation (CV)0.32223779
Kurtosis0.06037189
Mean46.429608
Median Absolute Deviation (MAD)9
Skewness0.18724883
Sum1177362
Variance223.84272
MonotonicityNot monotonic
2025-05-15T14:06:46.818065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 1450
 
5.5%
46 1216
 
4.6%
44 1109
 
4.2%
48 952
 
3.6%
47 921
 
3.5%
49 797
 
3.0%
43 743
 
2.8%
50 690
 
2.6%
42 671
 
2.6%
52 555
 
2.1%
Other values (68) 16254
62.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
14 2
 
< 0.1%
15 84
 
0.3%
16 112
 
0.4%
17 99
 
0.4%
18 175
0.7%
19 180
0.7%
20 137
 
0.5%
21 350
1.3%
22 277
1.1%
ValueCountFrequency (%)
204 1
 
< 0.1%
89 6
 
< 0.1%
88 5
 
< 0.1%
87 4
 
< 0.1%
86 3
 
< 0.1%
85 3
 
< 0.1%
84 12
 
< 0.1%
83 13
< 0.1%
82 27
0.1%
81 32
0.1%

Generator Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct113
Distinct (%)0.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean47.170479
Minimum0
Maximum118
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:46.896159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q131
median41
Q360
95-th percentile91
Maximum118
Range118
Interquartile range (IQR)29

Descriptive statistics

Standard deviation20.224297
Coefficient of variation (CV)0.42874904
Kurtosis0.38105236
Mean47.170479
Median Absolute Deviation (MAD)12
Skewness0.97611886
Sum1196149
Variance409.0222
MonotonicityNot monotonic
2025-05-15T14:06:46.976698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 1174
 
4.5%
29 1120
 
4.3%
40 1059
 
4.0%
28 972
 
3.7%
30 887
 
3.4%
41 883
 
3.4%
38 776
 
3.0%
42 738
 
2.8%
31 613
 
2.3%
44 604
 
2.3%
Other values (103) 16532
63.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
7 25
0.1%
8 8
 
< 0.1%
9 7
 
< 0.1%
10 6
 
< 0.1%
11 1
 
< 0.1%
12 2
 
< 0.1%
13 10
 
< 0.1%
14 8
 
< 0.1%
15 60
0.2%
ValueCountFrequency (%)
118 4
 
< 0.1%
117 5
 
< 0.1%
116 2
 
< 0.1%
115 2
 
< 0.1%
114 2
 
< 0.1%
113 3
 
< 0.1%
112 4
 
< 0.1%
111 11
< 0.1%
110 14
0.1%
109 8
< 0.1%

Generator Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct118
Distinct (%)0.5%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean48.322423
Minimum0
Maximum139
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:47.054199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q132
median42
Q361
95-th percentile94
Maximum139
Range139
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.230125
Coefficient of variation (CV)0.43934315
Kurtosis0.36798832
Mean48.322423
Median Absolute Deviation (MAD)12
Skewness0.9745088
Sum1225360
Variance450.71822
MonotonicityNot monotonic
2025-05-15T14:06:47.631324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1244
 
4.7%
29 1097
 
4.2%
42 938
 
3.6%
28 888
 
3.4%
41 853
 
3.3%
30 818
 
3.1%
39 715
 
2.7%
43 665
 
2.5%
44 646
 
2.5%
31 581
 
2.2%
Other values (108) 16913
64.5%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
7 24
0.1%
8 8
 
< 0.1%
9 7
 
< 0.1%
10 6
 
< 0.1%
11 2
 
< 0.1%
12 1
 
< 0.1%
13 12
 
< 0.1%
14 7
 
< 0.1%
15 58
0.2%
ValueCountFrequency (%)
139 1
 
< 0.1%
122 4
 
< 0.1%
121 4
 
< 0.1%
120 2
 
< 0.1%
119 2
 
< 0.1%
118 2
 
< 0.1%
117 4
 
< 0.1%
116 4
 
< 0.1%
115 12
< 0.1%
114 12
< 0.1%

Generator Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct119
Distinct (%)0.5%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean48.478153
Minimum0
Maximum143
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:47.708535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q132
median42
Q362
95-th percentile96
Maximum143
Range143
Interquartile range (IQR)30

Descriptive statistics

Standard deviation21.647605
Coefficient of variation (CV)0.44654353
Kurtosis0.36711901
Mean48.478153
Median Absolute Deviation (MAD)13
Skewness0.97657067
Sum1229309
Variance468.61882
MonotonicityNot monotonic
2025-05-15T14:06:47.788141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1172
 
4.5%
28 1113
 
4.2%
29 933
 
3.6%
42 913
 
3.5%
41 855
 
3.3%
30 775
 
3.0%
39 700
 
2.7%
43 658
 
2.5%
44 647
 
2.5%
31 559
 
2.1%
Other values (109) 17033
65.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
7 25
 
0.1%
8 7
 
< 0.1%
9 8
 
< 0.1%
10 5
 
< 0.1%
11 2
 
< 0.1%
12 8
 
< 0.1%
13 5
 
< 0.1%
14 8
 
< 0.1%
15 118
0.5%
ValueCountFrequency (%)
143 1
 
< 0.1%
123 4
 
< 0.1%
122 5
 
< 0.1%
121 2
 
< 0.1%
120 2
 
< 0.1%
119 2
 
< 0.1%
118 3
 
< 0.1%
117 4
 
< 0.1%
116 9
< 0.1%
115 15
0.1%

Generator SlipRing Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct39
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean24.671977
Minimum0
Maximum44
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:47.863736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q122
median24
Q326
95-th percentile33
Maximum44
Range44
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.24681
Coefficient of variation (CV)0.17213091
Kurtosis1.5940856
Mean24.671977
Median Absolute Deviation (MAD)2
Skewness0.63917523
Sum625632
Variance18.035395
MonotonicityNot monotonic
2025-05-15T14:06:47.934061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
23 3065
11.7%
25 2922
11.1%
24 2872
11.0%
22 2628
10.0%
21 2543
9.7%
26 2234
8.5%
27 1472
 
5.6%
20 1385
 
5.3%
28 1014
 
3.9%
32 668
 
2.5%
Other values (29) 4555
17.4%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
7 2
 
< 0.1%
8 10
 
< 0.1%
9 10
 
< 0.1%
10 12
 
< 0.1%
11 18
 
0.1%
12 17
 
0.1%
13 37
 
0.1%
14 41
0.2%
15 93
0.4%
ValueCountFrequency (%)
44 2
 
< 0.1%
43 7
 
< 0.1%
42 7
 
< 0.1%
41 7
 
< 0.1%
40 60
 
0.2%
39 39
 
0.1%
38 54
 
0.2%
37 80
 
0.3%
36 162
0.6%
35 205
0.8%

Generator Bearing2 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct76
Distinct (%)0.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean51.846952
Minimum0
Maximum203
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:48.010662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q141
median54
Q363
95-th percentile75
Maximum203
Range203
Interquartile range (IQR)22

Descriptive statistics

Standard deviation15.668756
Coefficient of variation (CV)0.30221171
Kurtosis-0.25731825
Mean51.846952
Median Absolute Deviation (MAD)10
Skewness-0.3836639
Sum1314735
Variance245.50992
MonotonicityNot monotonic
2025-05-15T14:06:48.090424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 1360
 
5.2%
54 1242
 
4.7%
53 1156
 
4.4%
56 968
 
3.7%
55 850
 
3.2%
57 748
 
2.9%
59 644
 
2.5%
58 604
 
2.3%
51 603
 
2.3%
69 571
 
2.2%
Other values (66) 16612
63.4%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
15 72
 
0.3%
16 40
 
0.2%
17 121
0.5%
18 201
0.8%
19 107
0.4%
20 93
 
0.4%
21 130
0.5%
22 84
 
0.3%
23 254
1.0%
ValueCountFrequency (%)
203 1
 
< 0.1%
88 7
 
< 0.1%
87 6
 
< 0.1%
86 5
 
< 0.1%
85 3
 
< 0.1%
84 10
 
< 0.1%
83 20
 
0.1%
82 41
0.2%
81 56
0.2%
80 84
0.3%

Generator CoolingWater Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct51
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean31.022281
Minimum0
Maximum56
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:48.166518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q128
median30
Q335
95-th percentile41
Maximum56
Range56
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.0468469
Coefficient of variation (CV)0.19491948
Kurtosis2.0176986
Mean31.022281
Median Absolute Deviation (MAD)3
Skewness-0.36264777
Sum786663
Variance36.564357
MonotonicityNot monotonic
2025-05-15T14:06:48.241964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 4490
17.1%
29 3666
14.0%
34 2609
10.0%
35 2483
 
9.5%
30 1406
 
5.4%
27 911
 
3.5%
36 907
 
3.5%
40 882
 
3.4%
32 821
 
3.1%
31 818
 
3.1%
Other values (41) 6365
24.3%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
7 62
0.2%
8 78
0.3%
9 27
 
0.1%
10 22
 
0.1%
11 13
 
< 0.1%
12 30
 
0.1%
13 35
 
0.1%
14 23
 
0.1%
15 91
0.3%
ValueCountFrequency (%)
56 10
 
< 0.1%
55 3
 
< 0.1%
54 6
 
< 0.1%
53 2
 
< 0.1%
52 14
 
0.1%
51 19
0.1%
50 31
0.1%
49 22
0.1%
48 39
0.1%
47 47
0.2%

Hydraulic Oil Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct53
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean48.496885
Minimum0
Maximum65
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:48.318321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q147
median50
Q353
95-th percentile54
Maximum65
Range65
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.3122387
Coefficient of variation (CV)0.15077749
Kurtosis8.9824696
Mean48.496885
Median Absolute Deviation (MAD)3
Skewness-2.8609053
Sum1229784
Variance53.468835
MonotonicityNot monotonic
2025-05-15T14:06:48.397935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 3657
14.0%
52 3184
12.1%
54 2785
10.6%
50 2734
10.4%
51 2491
9.5%
49 2082
7.9%
48 1643
6.3%
47 1248
 
4.8%
46 1218
 
4.6%
45 1149
 
4.4%
Other values (43) 3167
12.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
14 32
 
0.1%
15 79
0.3%
16 97
0.4%
17 93
0.4%
18 59
 
0.2%
19 178
0.7%
20 120
0.5%
21 55
 
0.2%
22 28
 
0.1%
ValueCountFrequency (%)
65 9
 
< 0.1%
64 4
 
< 0.1%
63 5
 
< 0.1%
62 3
 
< 0.1%
61 15
 
0.1%
60 27
0.1%
59 22
 
0.1%
58 27
0.1%
57 44
0.2%
56 55
0.2%

Gear Oil Temp. Avg. [°C]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.6 MiB
999.0
25358 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters126790
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:48.467502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:48.500844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Gear Bearing Temp. Avg. [°C]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.6 MiB
999.0
25358 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters126790
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:48.541843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:48.575428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Gear Oil TemperatureBasis Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct60
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean54.017588
Minimum0
Maximum72
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:48.625308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q149
median56
Q362
95-th percentile68
Maximum72
Range72
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.174076
Coefficient of variation (CV)0.20685995
Kurtosis1.5634793
Mean54.017588
Median Absolute Deviation (MAD)6
Skewness-1.1774009
Sum1369778
Variance124.85997
MonotonicityNot monotonic
2025-05-15T14:06:48.703435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 2580
 
9.8%
54 1789
 
6.8%
56 1678
 
6.4%
67 1142
 
4.4%
57 980
 
3.7%
66 931
 
3.6%
58 926
 
3.5%
65 916
 
3.5%
68 874
 
3.3%
59 851
 
3.2%
Other values (50) 12691
48.4%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
14 78
0.3%
15 88
0.3%
16 112
0.4%
17 59
0.2%
18 63
0.2%
19 79
0.3%
20 30
 
0.1%
21 31
 
0.1%
22 28
 
0.1%
ValueCountFrequency (%)
72 14
 
0.1%
71 14
 
0.1%
70 143
 
0.5%
69 526
2.0%
68 874
3.3%
67 1142
4.4%
66 931
3.6%
65 916
3.5%
64 754
2.9%
63 756
2.9%

Gear Oil TemperatureLevel1 Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct44
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean46.041999
Minimum0
Maximum58
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:48.777909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q147
median49
Q349
95-th percentile50
Maximum58
Range58
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.8923241
Coefficient of variation (CV)0.14969646
Kurtosis6.6222455
Mean46.041999
Median Absolute Deviation (MAD)0
Skewness-2.5550663
Sum1167533
Variance47.504132
MonotonicityNot monotonic
2025-05-15T14:06:48.855111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
49 15304
58.4%
50 1695
 
6.5%
48 797
 
3.0%
51 709
 
2.7%
42 518
 
2.0%
36 443
 
1.7%
47 419
 
1.6%
46 417
 
1.6%
44 406
 
1.5%
40 400
 
1.5%
Other values (34) 4250
 
16.2%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
15 73
0.3%
16 61
0.2%
17 100
0.4%
18 53
0.2%
19 123
0.5%
20 83
0.3%
21 84
0.3%
22 52
0.2%
23 98
0.4%
ValueCountFrequency (%)
58 1
 
< 0.1%
57 1
 
< 0.1%
55 14
 
0.1%
54 9
 
< 0.1%
53 46
 
0.2%
52 293
 
1.1%
51 709
 
2.7%
50 1695
 
6.5%
49 15304
58.4%
48 797
 
3.0%

Gear Oil TemperatureLevel2_3 Avg. [°C]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
0.0
25358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:48.923886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:48.958980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Gear Bearing TemperatureHSRotorEnd Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct64
Distinct (%)0.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean56.063925
Minimum0
Maximum78
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:49.009037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q148
median57
Q368
95-th percentile74
Maximum78
Range78
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.559675
Coefficient of variation (CV)0.24186097
Kurtosis-0.10631963
Mean56.063925
Median Absolute Deviation (MAD)10
Skewness-0.6130837
Sum1421669
Variance183.86479
MonotonicityNot monotonic
2025-05-15T14:06:49.091516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73 1449
 
5.5%
54 1155
 
4.4%
72 1131
 
4.3%
74 1016
 
3.9%
56 995
 
3.8%
55 994
 
3.8%
57 847
 
3.2%
71 760
 
2.9%
58 759
 
2.9%
53 758
 
2.9%
Other values (54) 15494
59.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
16 92
0.4%
17 50
0.2%
18 100
0.4%
19 69
0.3%
20 74
0.3%
21 56
0.2%
22 75
0.3%
23 66
0.3%
24 22
 
0.1%
ValueCountFrequency (%)
78 12
 
< 0.1%
77 15
 
0.1%
76 81
 
0.3%
75 457
 
1.7%
74 1016
3.9%
73 1449
5.5%
72 1131
4.3%
71 760
2.9%
70 639
2.4%
69 572
 
2.2%

Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct65
Distinct (%)0.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean54.445264
Minimum0
Maximum79
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:49.317219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q148
median55
Q363
95-th percentile73
Maximum79
Range79
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.661864
Coefficient of variation (CV)0.23256136
Kurtosis0.25375838
Mean54.445264
Median Absolute Deviation (MAD)8
Skewness-0.64166278
Sum1380623
Variance160.32281
MonotonicityNot monotonic
2025-05-15T14:06:49.398998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 1635
 
6.2%
55 1614
 
6.2%
56 1448
 
5.5%
57 996
 
3.8%
58 834
 
3.2%
59 790
 
3.0%
53 777
 
3.0%
61 647
 
2.5%
72 632
 
2.4%
60 619
 
2.4%
Other values (55) 15366
58.6%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
16 89
0.3%
17 85
0.3%
18 62
0.2%
19 101
0.4%
20 76
0.3%
21 77
0.3%
22 68
0.3%
23 35
 
0.1%
24 78
0.3%
ValueCountFrequency (%)
79 7
 
< 0.1%
78 9
 
< 0.1%
77 15
 
0.1%
76 153
 
0.6%
75 288
1.1%
74 546
2.1%
73 434
1.7%
72 632
2.4%
71 515
2.0%
70 544
2.1%

Gear Bearing TemperatureHSMiddle Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct64
Distinct (%)0.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean53.840721
Minimum0
Maximum78
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:49.481895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q148
median55
Q362
95-th percentile72
Maximum78
Range78
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.055242
Coefficient of variation (CV)0.22390565
Kurtosis0.53518624
Mean53.840721
Median Absolute Deviation (MAD)7
Skewness-0.69251288
Sum1365293
Variance145.32885
MonotonicityNot monotonic
2025-05-15T14:06:49.564968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 3169
 
12.1%
55 2041
 
7.8%
56 1222
 
4.7%
57 849
 
3.2%
58 713
 
2.7%
59 708
 
2.7%
53 646
 
2.5%
60 593
 
2.3%
50 541
 
2.1%
69 528
 
2.0%
Other values (54) 14348
54.7%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
16 86
0.3%
17 79
0.3%
18 79
0.3%
19 92
0.4%
20 67
0.3%
21 81
0.3%
22 69
0.3%
23 37
0.1%
24 73
0.3%
ValueCountFrequency (%)
78 10
 
< 0.1%
77 7
 
< 0.1%
76 21
 
0.1%
75 127
 
0.5%
74 333
1.3%
73 512
2.0%
72 455
1.7%
71 510
1.9%
70 447
1.7%
69 528
2.0%

Gear Bearing TemperatureHollowShaftRotor Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct60
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean58.897311
Minimum0
Maximum74
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:49.645537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q151
median65
Q369
95-th percentile70
Maximum74
Range74
Interquartile range (IQR)18

Descriptive statistics

Standard deviation13.098007
Coefficient of variation (CV)0.22238718
Kurtosis0.65673707
Mean58.897311
Median Absolute Deviation (MAD)5
Skewness-1.2794295
Sum1493518
Variance171.55778
MonotonicityNot monotonic
2025-05-15T14:06:49.725030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 3715
14.2%
70 3393
12.9%
64 2495
 
9.5%
69 1938
 
7.4%
68 1198
 
4.6%
66 1132
 
4.3%
67 1130
 
4.3%
71 960
 
3.7%
36 517
 
2.0%
35 505
 
1.9%
Other values (50) 8375
32.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
16 60
0.2%
17 53
0.2%
18 98
0.4%
19 63
0.2%
20 77
0.3%
21 52
0.2%
22 34
 
0.1%
23 87
0.3%
24 43
0.2%
ValueCountFrequency (%)
74 8
 
< 0.1%
73 11
 
< 0.1%
72 110
 
0.4%
71 960
 
3.7%
70 3393
12.9%
69 1938
7.4%
68 1198
 
4.6%
67 1130
 
4.3%
66 1132
 
4.3%
65 3715
14.2%

Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct66
Distinct (%)0.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean58.508124
Minimum0
Maximum80
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:49.806438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q149
median63
Q368
95-th percentile75
Maximum80
Range80
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.073509
Coefficient of variation (CV)0.24053939
Kurtosis0.11698079
Mean58.508124
Median Absolute Deviation (MAD)7
Skewness-0.97457072
Sum1483649
Variance198.06364
MonotonicityNot monotonic
2025-05-15T14:06:49.887975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63 4894
 
18.7%
64 1443
 
5.5%
65 980
 
3.7%
74 859
 
3.3%
72 803
 
3.1%
66 770
 
2.9%
73 754
 
2.9%
75 733
 
2.8%
67 726
 
2.8%
69 683
 
2.6%
Other values (56) 12713
48.5%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
16 70
0.3%
17 36
 
0.1%
18 112
0.4%
19 57
0.2%
20 97
0.4%
21 71
0.3%
22 53
0.2%
23 59
0.2%
24 56
0.2%
ValueCountFrequency (%)
80 13
 
< 0.1%
79 13
 
< 0.1%
78 68
 
0.3%
77 270
 
1.0%
76 671
2.6%
75 733
2.8%
74 859
3.3%
73 754
2.9%
72 803
3.1%
71 676
2.6%

Nacelle Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct36
Distinct (%)0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean26.572876
Minimum0
Maximum45
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:49.962838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q124
median25
Q329
95-th percentile34
Maximum45
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.1851066
Coefficient of variation (CV)0.15749543
Kurtosis1.8930388
Mean26.572876
Median Absolute Deviation (MAD)1
Skewness0.60474783
Sum673835
Variance17.515117
MonotonicityNot monotonic
2025-05-15T14:06:50.027393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
24 8584
32.8%
25 2825
 
10.8%
28 2024
 
7.7%
27 1881
 
7.2%
26 1569
 
6.0%
29 1269
 
4.8%
34 971
 
3.7%
30 937
 
3.6%
32 839
 
3.2%
31 665
 
2.5%
Other values (26) 3794
14.5%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
11 6
 
< 0.1%
12 16
 
0.1%
13 28
 
0.1%
14 34
 
0.1%
15 52
 
0.2%
16 108
0.4%
17 141
0.5%
18 175
0.7%
19 187
0.7%
ValueCountFrequency (%)
45 7
 
< 0.1%
44 9
 
< 0.1%
43 12
 
< 0.1%
42 57
 
0.2%
41 27
 
0.1%
40 66
0.3%
39 101
0.4%
38 131
0.5%
37 113
0.4%
36 149
0.6%

Avg. direction [°]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct3394
Distinct (%)13.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean198.46839
Minimum0
Maximum359.9
Zeros1109
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:50.098473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q1109.6
median203.3
Q3304.7
95-th percentile335.1
Maximum359.9
Range359.9
Interquartile range (IQR)195.1

Descriptive statistics

Standard deviation108.71867
Coefficient of variation (CV)0.54778836
Kurtosis-1.2421126
Mean198.46839
Median Absolute Deviation (MAD)98.7
Skewness-0.29194898
Sum5032761.5
Variance11819.75
MonotonicityNot monotonic
2025-05-15T14:06:50.179852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1109
 
4.2%
55.5 590
 
2.3%
292.4 309
 
1.2%
24 157
 
0.6%
84.5 148
 
0.6%
116.3 139
 
0.5%
323.2 101
 
0.4%
311.2 85
 
0.3%
270.4 80
 
0.3%
146 79
 
0.3%
Other values (3384) 22561
86.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 1109
4.2%
0.2 15
 
0.1%
0.6 8
 
< 0.1%
0.8 1
 
< 0.1%
0.9 9
 
< 0.1%
1 1
 
< 0.1%
1.3 10
 
< 0.1%
1.7 2
 
< 0.1%
2 6
 
< 0.1%
2.2 1
 
< 0.1%
ValueCountFrequency (%)
359.9 61
0.2%
359.5 8
 
< 0.1%
359.3 1
 
< 0.1%
359.2 4
 
< 0.1%
359.1 1
 
< 0.1%
358.8 3
 
< 0.1%
358.5 1
 
< 0.1%
358.4 5
 
< 0.1%
358.2 1
 
< 0.1%
358 10
 
< 0.1%

Rotor RPM Max. [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct156
Distinct (%)0.6%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean9.890224
Minimum0
Maximum18.1
Zeros1696
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:50.260013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5
median11.2
Q315.7
95-th percentile16.3
Maximum18.1
Range18.1
Interquartile range (IQR)13.2

Descriptive statistics

Standard deviation6.0652629
Coefficient of variation (CV)0.61325839
Kurtosis-1.2057339
Mean9.890224
Median Absolute Deviation (MAD)4.5
Skewness-0.60502016
Sum250796.3
Variance36.787414
MonotonicityNot monotonic
2025-05-15T14:06:50.338152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.1 2028
 
7.7%
0 1696
 
6.5%
15.7 1560
 
6.0%
15.8 1492
 
5.7%
10.2 1229
 
4.7%
15.9 1136
 
4.3%
16 576
 
2.2%
15.6 461
 
1.8%
0.3 455
 
1.7%
0.2 442
 
1.7%
Other values (146) 14283
54.5%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 1696
6.5%
0.1 441
 
1.7%
0.2 442
 
1.7%
0.3 455
 
1.7%
0.4 389
 
1.5%
0.5 355
 
1.4%
0.6 269
 
1.0%
0.7 226
 
0.9%
0.8 183
 
0.7%
0.9 174
 
0.7%
ValueCountFrequency (%)
18.1 1
 
< 0.1%
18 2
 
< 0.1%
17.9 2
 
< 0.1%
17.8 4
 
< 0.1%
17.7 7
 
< 0.1%
17.6 12
 
< 0.1%
17.5 15
 
0.1%
17.4 24
0.1%
17.3 38
0.1%
17.2 56
0.2%

Rotor RPM Min. [RPM]
Real number (ℝ)

High correlation  Missing  Skewed  Zeros 

Distinct131
Distinct (%)0.5%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean10.489727
Minimum0
Maximum6553.5
Zeros4112
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:50.416409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9.9
Q312
95-th percentile15.3
Maximum6553.5
Range6553.5
Interquartile range (IQR)11

Descriptive statistics

Standard deviation130.08042
Coefficient of variation (CV)12.400744
Kurtosis2522.0356
Mean10.489727
Median Absolute Deviation (MAD)4.2
Skewness50.191727
Sum265998.5
Variance16920.916
MonotonicityNot monotonic
2025-05-15T14:06:50.493526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 4166
 
15.9%
0 4112
 
15.7%
9.8 1441
 
5.5%
10 756
 
2.9%
15.4 657
 
2.5%
11.9 568
 
2.2%
15.3 562
 
2.1%
0.1 526
 
2.0%
15.5 443
 
1.7%
15.2 399
 
1.5%
Other values (121) 11728
44.7%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 4112
15.7%
0.1 526
 
2.0%
0.2 372
 
1.4%
0.3 354
 
1.4%
0.4 261
 
1.0%
0.5 205
 
0.8%
0.6 141
 
0.5%
0.7 123
 
0.5%
0.8 112
 
0.4%
0.9 88
 
0.3%
ValueCountFrequency (%)
6553.5 10
 
< 0.1%
15.6 101
 
0.4%
15.5 443
1.7%
15.4 657
2.5%
15.3 562
2.1%
15.2 399
1.5%
15.1 319
1.2%
15 273
1.0%
14.9 197
 
0.8%
14.8 187
 
0.7%

Rotor RPM Avg. [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct158
Distinct (%)0.6%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean8.858033
Minimum0
Maximum15.7
Zeros3031
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:50.570414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.9
median10
Q314.1
95-th percentile15.6
Maximum15.7
Range15.7
Interquartile range (IQR)12.2

Descriptive statistics

Standard deviation5.7798455
Coefficient of variation (CV)0.65249762
Kurtosis-1.2888275
Mean8.858033
Median Absolute Deviation (MAD)5.1
Skewness-0.46661403
Sum224622
Variance33.406614
MonotonicityNot monotonic
2025-05-15T14:06:50.649185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 4219
 
16.1%
15.6 3588
 
13.7%
0 3031
 
11.6%
0.1 610
 
2.3%
15.5 579
 
2.2%
10.1 528
 
2.0%
10.2 353
 
1.3%
0.3 333
 
1.3%
15.4 326
 
1.2%
0.2 293
 
1.1%
Other values (148) 11498
43.9%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 3031
11.6%
0.1 610
 
2.3%
0.2 293
 
1.1%
0.3 333
 
1.3%
0.4 266
 
1.0%
0.5 267
 
1.0%
0.6 212
 
0.8%
0.7 178
 
0.7%
0.8 128
 
0.5%
0.9 92
 
0.4%
ValueCountFrequency (%)
15.7 8
 
< 0.1%
15.6 3588
13.7%
15.5 579
 
2.2%
15.4 326
 
1.2%
15.3 268
 
1.0%
15.2 217
 
0.8%
15.1 163
 
0.6%
15 170
 
0.6%
14.9 158
 
0.6%
14.8 143
 
0.5%

Rotor RPM StdDev [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct76
Distinct (%)0.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.4649578
Minimum0
Maximum7.7
Zeros9102
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:50.879371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.6
95-th percentile1.9
Maximum7.7
Range7.7
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.86874047
Coefficient of variation (CV)1.8684286
Kurtosis20.673817
Mean0.4649578
Median Absolute Deviation (MAD)0.1
Skewness3.9680243
Sum11790.4
Variance0.75471
MonotonicityNot monotonic
2025-05-15T14:06:50.961450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9102
34.7%
0.1 3814
14.6%
0.2 2123
 
8.1%
0.3 1523
 
5.8%
0.4 1198
 
4.6%
0.5 1015
 
3.9%
0.6 914
 
3.5%
0.7 881
 
3.4%
0.8 761
 
2.9%
0.9 683
 
2.6%
Other values (66) 3344
 
12.8%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 9102
34.7%
0.1 3814
14.6%
0.2 2123
 
8.1%
0.3 1523
 
5.8%
0.4 1198
 
4.6%
0.5 1015
 
3.9%
0.6 914
 
3.5%
0.7 881
 
3.4%
0.8 761
 
2.9%
0.9 683
 
2.6%
ValueCountFrequency (%)
7.7 1
 
< 0.1%
7.5 4
 
< 0.1%
7.4 18
0.1%
7.3 26
0.1%
7.2 11
< 0.1%
7.1 7
 
< 0.1%
7 9
 
< 0.1%
6.9 13
< 0.1%
6.8 10
 
< 0.1%
6.7 8
 
< 0.1%

Ambient WindSpeed Max. [m/s]
Real number (ℝ)

High correlation  Missing 

Distinct373
Distinct (%)1.5%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean9.8233339
Minimum0
Maximum42
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:51.042358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q15.6
median8.3
Q312.5
95-th percentile21.2
Maximum42
Range42
Interquartile range (IQR)6.9

Descriptive statistics

Standard deviation5.8797011
Coefficient of variation (CV)0.59854437
Kurtosis2.1657337
Mean9.8233339
Median Absolute Deviation (MAD)3.2
Skewness1.3657887
Sum249100.1
Variance34.570885
MonotonicityNot monotonic
2025-05-15T14:06:51.118226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.9 264
 
1.0%
8 262
 
1.0%
6.9 262
 
1.0%
4.6 260
 
1.0%
7.4 254
 
1.0%
7.8 254
 
1.0%
5.3 253
 
1.0%
5.1 252
 
1.0%
7.3 252
 
1.0%
4.8 251
 
1.0%
Other values (363) 22794
87.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
< 0.1%
0.7 1
 
< 0.1%
0.9 1
 
< 0.1%
1 2
 
< 0.1%
1.1 6
 
< 0.1%
1.2 6
 
< 0.1%
1.3 17
0.1%
1.4 12
< 0.1%
1.5 20
0.1%
1.6 17
0.1%
ValueCountFrequency (%)
42 1
< 0.1%
41.3 1
< 0.1%
40.5 1
< 0.1%
40.1 1
< 0.1%
39.3 1
< 0.1%
39.1 2
< 0.1%
39 1
< 0.1%
38.9 2
< 0.1%
38.8 2
< 0.1%
38.7 1
< 0.1%

Ambient WindSpeed Min. [m/s]
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct188
Distinct (%)0.7%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean6.6380393
Minimum0
Maximum6553.5
Zeros207
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:51.192929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q11.8
median3.5
Q35.5
95-th percentile9.4
Maximum6553.5
Range6553.5
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation130.06935
Coefficient of variation (CV)19.594544
Kurtosis2528.8481
Mean6.6380393
Median Absolute Deviation (MAD)1.8
Skewness50.293375
Sum168327.4
Variance16918.037
MonotonicityNot monotonic
2025-05-15T14:06:51.269840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3 474
 
1.8%
0.3 469
 
1.8%
1.2 452
 
1.7%
1.8 435
 
1.7%
3.6 428
 
1.6%
4.1 422
 
1.6%
3.5 417
 
1.6%
1.1 416
 
1.6%
1.6 415
 
1.6%
1.7 414
 
1.6%
Other values (178) 21016
80.2%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 207
0.8%
0.3 469
1.8%
0.4 313
1.2%
0.5 295
1.1%
0.6 274
1.0%
0.7 302
1.2%
0.8 330
1.3%
0.9 345
1.3%
1 386
1.5%
1.1 416
1.6%
ValueCountFrequency (%)
6553.5 10
< 0.1%
19.9 1
 
< 0.1%
19.8 1
 
< 0.1%
19.4 1
 
< 0.1%
19 3
 
< 0.1%
18.8 1
 
< 0.1%
18.6 1
 
< 0.1%
18.5 3
 
< 0.1%
18.2 2
 
< 0.1%
18.1 1
 
< 0.1%

Ambient WindSpeed Avg. [m/s]
Real number (ℝ)

High correlation  Missing 

Distinct300
Distinct (%)1.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean6.9506428
Minimum0
Maximum32.9
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:51.348120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q13.8
median5.8
Q39
95-th percentile15.7
Maximum32.9
Range32.9
Interquartile range (IQR)5.2

Descriptive statistics

Standard deviation4.4715072
Coefficient of variation (CV)0.64332283
Kurtosis2.677005
Mean6.9506428
Median Absolute Deviation (MAD)2.4
Skewness1.4519097
Sum176254.4
Variance19.994376
MonotonicityNot monotonic
2025-05-15T14:06:51.426459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.8 381
 
1.5%
4 374
 
1.4%
4.1 373
 
1.4%
3.7 372
 
1.4%
3.9 372
 
1.4%
4.4 357
 
1.4%
4.2 355
 
1.4%
4.3 350
 
1.3%
2.9 338
 
1.3%
4.5 337
 
1.3%
Other values (290) 21749
83.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
0.1 1
 
< 0.1%
0.4 7
 
< 0.1%
0.5 16
 
0.1%
0.6 23
 
0.1%
0.7 29
 
0.1%
0.8 36
0.1%
0.9 63
0.2%
1 77
0.3%
1.1 70
0.3%
ValueCountFrequency (%)
32.9 1
< 0.1%
32.6 1
< 0.1%
32.3 1
< 0.1%
32.1 1
< 0.1%
31.9 1
< 0.1%
31.8 2
< 0.1%
31.7 1
< 0.1%
30.7 1
< 0.1%
30.6 1
< 0.1%
30.3 2
< 0.1%

Ambient WindSpeed StdDev [m/s]
Real number (ℝ)

High correlation  Missing 

Distinct66
Distinct (%)0.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.90882167
Minimum0
Maximum7.3
Zeros51
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:51.502505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.7
Q31.2
95-th percentile2.2
Maximum7.3
Range7.3
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.67612239
Coefficient of variation (CV)0.74395496
Kurtosis7.1319094
Mean0.90882167
Median Absolute Deviation (MAD)0.3
Skewness2.0601455
Sum23045.9
Variance0.45714148
MonotonicityNot monotonic
2025-05-15T14:06:51.579962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5 2619
 
10.0%
0.4 2502
 
9.5%
0.6 2416
 
9.2%
0.7 2071
 
7.9%
0.3 1888
 
7.2%
0.8 1735
 
6.6%
0.9 1437
 
5.5%
0.2 1363
 
5.2%
1 1158
 
4.4%
1.1 1006
 
3.8%
Other values (56) 7163
27.3%
ValueCountFrequency (%)
0 51
 
0.2%
0.1 457
 
1.7%
0.2 1363
5.2%
0.3 1888
7.2%
0.4 2502
9.5%
0.5 2619
10.0%
0.6 2416
9.2%
0.7 2071
7.9%
0.8 1735
6.6%
0.9 1437
5.5%
ValueCountFrequency (%)
7.3 1
 
< 0.1%
7 2
< 0.1%
6.8 1
 
< 0.1%
6.6 1
 
< 0.1%
6.4 1
 
< 0.1%
6.2 1
 
< 0.1%
6 2
< 0.1%
5.9 3
< 0.1%
5.8 4
< 0.1%
5.7 1
 
< 0.1%

Ambient WindDir Relative Avg. [°]
Real number (ℝ)

High correlation  Missing 

Distinct2409
Distinct (%)9.5%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-5.6995583
Minimum-180
Maximum179.8
Zeros125
Zeros (%)0.5%
Negative20988
Negative (%)80.1%
Memory size1.4 MiB
2025-05-15T14:06:51.656033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-180
5-th percentile-79.115
Q1-5.1
median-3.2
Q3-1.2
95-th percentile31.215
Maximum179.8
Range359.8
Interquartile range (IQR)3.9

Descriptive statistics

Standard deviation35.807949
Coefficient of variation (CV)-6.2825832
Kurtosis9.7313817
Mean-5.6995583
Median Absolute Deviation (MAD)2
Skewness-0.46732954
Sum-144529.4
Variance1282.2092
MonotonicityNot monotonic
2025-05-15T14:06:51.734198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.4 404
 
1.5%
-3.2 400
 
1.5%
-2.7 396
 
1.5%
-2.8 396
 
1.5%
-2.9 393
 
1.5%
-3.3 392
 
1.5%
-3.4 381
 
1.5%
-3.1 375
 
1.4%
-3 373
 
1.4%
-2.5 369
 
1.4%
Other values (2399) 21479
82.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-180 1
< 0.1%
-179.4 1
< 0.1%
-179.2 2
< 0.1%
-179.1 1
< 0.1%
-178.9 1
< 0.1%
-178.8 1
< 0.1%
-178.5 1
< 0.1%
-178.4 1
< 0.1%
-178.3 1
< 0.1%
-178 1
< 0.1%
ValueCountFrequency (%)
179.8 1
< 0.1%
179.6 1
< 0.1%
179.4 1
< 0.1%
179.3 1
< 0.1%
179.2 1
< 0.1%
178.7 1
< 0.1%
178.4 1
< 0.1%
178.3 1
< 0.1%
178.1 2
< 0.1%
178 1
< 0.1%

Ambient WindDir Absolute Avg. [°]
Real number (ℝ)

High correlation  Missing 

Distinct3551
Distinct (%)14.0%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean247.12346
Minimum0
Maximum1000
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:51.812195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31.1
Q1128.625
median248.5
Q3311.8
95-th percentile356
Maximum1000
Range1000
Interquartile range (IQR)183.175

Descriptive statistics

Standard deviation185.63617
Coefficient of variation (CV)0.75118796
Kurtosis8.4977418
Mean247.12346
Median Absolute Deviation (MAD)76.9
Skewness2.5494995
Sum6266556.8
Variance34460.788
MonotonicityNot monotonic
2025-05-15T14:06:51.891509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 1053
 
4.0%
314.8 33
 
0.1%
308.2 33
 
0.1%
318.4 32
 
0.1%
302.1 32
 
0.1%
305.4 30
 
0.1%
306.5 30
 
0.1%
306.8 30
 
0.1%
312.2 30
 
0.1%
307.7 29
 
0.1%
Other values (3541) 24026
91.7%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 8
< 0.1%
0.1 3
 
< 0.1%
0.2 6
< 0.1%
0.3 7
< 0.1%
0.4 6
< 0.1%
0.5 7
< 0.1%
0.6 4
< 0.1%
0.7 9
< 0.1%
0.8 4
< 0.1%
0.9 1
 
< 0.1%
ValueCountFrequency (%)
1000 1053
4.0%
359.9 5
 
< 0.1%
359.8 6
 
< 0.1%
359.7 4
 
< 0.1%
359.6 5
 
< 0.1%
359.5 7
 
< 0.1%
359.4 2
 
< 0.1%
359.3 2
 
< 0.1%
359.2 3
 
< 0.1%
359.1 8
 
< 0.1%

Ambient Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct33
Distinct (%)0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean11.153285
Minimum0
Maximum32
Zeros33
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:51.960142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median10
Q314
95-th percentile23
Maximum32
Range32
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.9365364
Coefficient of variation (CV)0.53226798
Kurtosis0.5370325
Mean11.153285
Median Absolute Deviation (MAD)4
Skewness0.94334423
Sum282825
Variance35.242465
MonotonicityNot monotonic
2025-05-15T14:06:52.026108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7 2821
 
10.8%
8 2263
 
8.6%
6 2241
 
8.6%
5 1800
 
6.9%
14 1468
 
5.6%
9 1464
 
5.6%
10 1391
 
5.3%
13 1364
 
5.2%
12 1246
 
4.8%
11 1194
 
4.6%
Other values (23) 8106
30.9%
ValueCountFrequency (%)
0 33
 
0.1%
1 106
 
0.4%
2 294
 
1.1%
3 448
 
1.7%
4 895
 
3.4%
5 1800
6.9%
6 2241
8.6%
7 2821
10.8%
8 2263
8.6%
9 1464
5.6%
ValueCountFrequency (%)
32 6
 
< 0.1%
31 46
 
0.2%
30 96
0.4%
29 146
0.6%
28 102
0.4%
27 217
0.8%
26 192
0.7%
25 185
0.7%
24 189
0.7%
23 207
0.8%

Ambient WindSpeed Estimated Avg. [m/s]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
0.0
25358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:52.090873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:52.124479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Grid InverterPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct38
Distinct (%)0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean35.864421
Minimum0
Maximum64
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:52.168705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q131
median34
Q339
95-th percentile49
Maximum64
Range64
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.112542
Coefficient of variation (CV)0.1704347
Kurtosis1.1573712
Mean35.864421
Median Absolute Deviation (MAD)4
Skewness0.95436575
Sum909450
Variance37.363169
MonotonicityNot monotonic
2025-05-15T14:06:52.237251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
29 3396
13.0%
30 2019
 
7.7%
31 2000
 
7.6%
34 1994
 
7.6%
33 1813
 
6.9%
39 1688
 
6.4%
32 1663
 
6.3%
38 1547
 
5.9%
35 1403
 
5.4%
40 1195
 
4.6%
Other values (28) 6640
25.3%
ValueCountFrequency (%)
0 10
 
< 0.1%
28 7
 
< 0.1%
29 3396
13.0%
30 2019
7.7%
31 2000
7.6%
32 1663
6.3%
33 1813
6.9%
34 1994
7.6%
35 1403
5.4%
36 981
 
3.7%
ValueCountFrequency (%)
64 11
 
< 0.1%
63 4
 
< 0.1%
62 3
 
< 0.1%
61 3
 
< 0.1%
60 10
 
< 0.1%
59 7
 
< 0.1%
58 29
0.1%
57 41
0.2%
56 32
0.1%
55 33
0.1%

Grid RotorInvPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct42
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean37.66551
Minimum0
Maximum68
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:52.308698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q133
median36
Q342
95-th percentile52
Maximum68
Range68
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.9517485
Coefficient of variation (CV)0.18456536
Kurtosis0.74952895
Mean37.66551
Median Absolute Deviation (MAD)4
Skewness0.90299604
Sum955122
Variance48.326807
MonotonicityNot monotonic
2025-05-15T14:06:52.382523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
34 2356
 
9.0%
33 2290
 
8.7%
29 2194
 
8.4%
32 1927
 
7.4%
35 1655
 
6.3%
31 1544
 
5.9%
42 1332
 
5.1%
36 1302
 
5.0%
41 1224
 
4.7%
37 980
 
3.7%
Other values (32) 8554
32.6%
ValueCountFrequency (%)
0 10
 
< 0.1%
28 5
 
< 0.1%
29 2194
8.4%
30 539
 
2.1%
31 1544
5.9%
32 1927
7.4%
33 2290
8.7%
34 2356
9.0%
35 1655
6.3%
36 1302
5.0%
ValueCountFrequency (%)
68 10
 
< 0.1%
67 3
 
< 0.1%
66 4
 
< 0.1%
65 2
 
< 0.1%
64 7
 
< 0.1%
63 10
 
< 0.1%
62 20
0.1%
61 38
0.1%
60 33
0.1%
59 30
0.1%

Grid RotorInvPhase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct40
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean37.054697
Minimum0
Maximum66
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:52.597909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q132
median35
Q341
95-th percentile50
Maximum66
Range66
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.4393051
Coefficient of variation (CV)0.17377838
Kurtosis0.88202345
Mean37.054697
Median Absolute Deviation (MAD)4
Skewness0.89179277
Sum939633
Variance41.46465
MonotonicityNot monotonic
2025-05-15T14:06:52.669325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
33 2996
 
11.4%
34 2386
 
9.1%
29 2277
 
8.7%
32 2145
 
8.2%
41 1490
 
5.7%
31 1479
 
5.6%
35 1466
 
5.6%
40 1273
 
4.9%
42 1122
 
4.3%
36 1051
 
4.0%
Other values (30) 7673
29.3%
ValueCountFrequency (%)
0 10
 
< 0.1%
28 7
 
< 0.1%
29 2277
8.7%
30 560
 
2.1%
31 1479
5.6%
32 2145
8.2%
33 2996
11.4%
34 2386
9.1%
35 1466
5.6%
36 1051
 
4.0%
ValueCountFrequency (%)
66 10
 
< 0.1%
65 3
 
< 0.1%
64 5
 
< 0.1%
63 2
 
< 0.1%
62 6
 
< 0.1%
61 10
 
< 0.1%
60 19
0.1%
59 39
0.1%
58 33
0.1%
57 33
0.1%

Grid RotorInvPhase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct40
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean36.972356
Minimum0
Maximum66
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:52.739248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q132
median35
Q341
95-th percentile50
Maximum66
Range66
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.4091714
Coefficient of variation (CV)0.17335037
Kurtosis0.76394427
Mean36.972356
Median Absolute Deviation (MAD)4
Skewness0.852098
Sum937545
Variance41.077478
MonotonicityNot monotonic
2025-05-15T14:06:52.810949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
29 2523
 
9.6%
33 2491
 
9.5%
34 2390
 
9.1%
32 2208
 
8.4%
35 1727
 
6.6%
31 1385
 
5.3%
36 1207
 
4.6%
41 1141
 
4.4%
39 1136
 
4.3%
40 1084
 
4.1%
Other values (30) 8066
30.8%
ValueCountFrequency (%)
0 10
 
< 0.1%
28 7
 
< 0.1%
29 2523
9.6%
30 642
 
2.4%
31 1385
5.3%
32 2208
8.4%
33 2491
9.5%
34 2390
9.1%
35 1727
6.6%
36 1207
4.6%
ValueCountFrequency (%)
66 7
 
< 0.1%
65 5
 
< 0.1%
64 4
 
< 0.1%
63 2
 
< 0.1%
62 4
 
< 0.1%
61 7
 
< 0.1%
60 9
 
< 0.1%
59 32
0.1%
58 33
0.1%
57 31
0.1%

Grid Production Power Avg. [W]
Real number (ℝ)

High correlation  Missing 

Distinct11043
Distinct (%)43.5%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean580.14197
Minimum-36.5
Maximum3000.6
Zeros45
Zeros (%)0.2%
Negative7844
Negative (%)29.9%
Memory size1.4 MiB
2025-05-15T14:06:52.887006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-36.5
5-th percentile-13.3
Q1-5.2
median188.75
Q3800.2
95-th percentile2619.895
Maximum3000.6
Range3037.1
Interquartile range (IQR)805.4

Descriptive statistics

Standard deviation830.96951
Coefficient of variation (CV)1.4323554
Kurtosis1.3500591
Mean580.14197
Median Absolute Deviation (MAD)201.05
Skewness1.5702362
Sum14711240
Variance690510.32
MonotonicityNot monotonic
2025-05-15T14:06:52.964059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 296
 
1.1%
-0.9 294
 
1.1%
-12.4 212
 
0.8%
-12.5 209
 
0.8%
-12.7 205
 
0.8%
-12.6 201
 
0.8%
-11.8 198
 
0.8%
-11.7 196
 
0.7%
-12 195
 
0.7%
-12.9 195
 
0.7%
Other values (11033) 23157
88.4%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-36.5 1
< 0.1%
-36.3 1
< 0.1%
-36.2 1
< 0.1%
-35.2 1
< 0.1%
-35 1
< 0.1%
-34.9 1
< 0.1%
-34.5 1
< 0.1%
-32.8 1
< 0.1%
-32.7 1
< 0.1%
-32.1 1
< 0.1%
ValueCountFrequency (%)
3000.6 3
 
< 0.1%
3000.5 7
 
< 0.1%
3000.4 18
0.1%
3000.3 44
0.2%
3000.2 26
0.1%
3000.1 7
 
< 0.1%
3000 6
 
< 0.1%
2999.9 4
 
< 0.1%
2999.8 7
 
< 0.1%
2999.7 7
 
< 0.1%

Grid Production CosPhi Avg.
Real number (ℝ)

High correlation  Missing 

Distinct11
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.87670952
Minimum0
Maximum1
Zeros92
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:53.025000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q10.7
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.19602919
Coefficient of variation (CV)0.22359651
Kurtosis2.9358803
Mean0.87670952
Median Absolute Deviation (MAD)0
Skewness-1.7306927
Sum22231.6
Variance0.038427442
MonotonicityNot monotonic
2025-05-15T14:06:53.079454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 16143
61.6%
0.7 4653
 
17.8%
0.9 1132
 
4.3%
0.8 954
 
3.6%
0.6 753
 
2.9%
0.4 694
 
2.6%
0.5 428
 
1.6%
0.3 192
 
0.7%
0.2 168
 
0.6%
0.1 149
 
0.6%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 92
 
0.4%
0.1 149
 
0.6%
0.2 168
 
0.6%
0.3 192
 
0.7%
0.4 694
 
2.6%
0.5 428
 
1.6%
0.6 753
 
2.9%
0.7 4653
17.8%
0.8 954
 
3.6%
0.9 1132
 
4.3%
ValueCountFrequency (%)
1 16143
61.6%
0.9 1132
 
4.3%
0.8 954
 
3.6%
0.7 4653
 
17.8%
0.6 753
 
2.9%
0.5 428
 
1.6%
0.4 694
 
2.6%
0.3 192
 
0.7%
0.2 168
 
0.6%
0.1 149
 
0.6%

Grid Production Frequency Avg. [Hz]
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct7
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean49.97721
Minimum0
Maximum50.1
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:53.129040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50
Q150
median50
Q350
95-th percentile50
Maximum50.1
Range50.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0090399
Coefficient of variation (CV)0.02019
Kurtosis2375.9592
Mean49.97721
Median Absolute Deviation (MAD)0
Skewness-48.322791
Sum1267322.1
Variance1.0181614
MonotonicityNot monotonic
2025-05-15T14:06:53.177017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
50 25225
96.2%
49.9 110
 
0.4%
0 10
 
< 0.1%
50.1 6
 
< 0.1%
37.2 5
 
< 0.1%
46.8 1
 
< 0.1%
49.7 1
 
< 0.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
37.2 5
 
< 0.1%
46.8 1
 
< 0.1%
49.7 1
 
< 0.1%
49.9 110
 
0.4%
50 25225
96.2%
50.1 6
 
< 0.1%
ValueCountFrequency (%)
50.1 6
 
< 0.1%
50 25225
96.2%
49.9 110
 
0.4%
49.7 1
 
< 0.1%
46.8 1
 
< 0.1%
37.2 5
 
< 0.1%
0 10
 
< 0.1%

Grid Production VoltagePhase1 Avg. [V]
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct404
Distinct (%)1.6%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean575.82034
Minimum0
Maximum604.7
Zeros44
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:53.243289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile567.5
Q1572.4
median576.7
Q3580.6
95-th percentile587.1
Maximum604.7
Range604.7
Interquartile range (IQR)8.2

Descriptive statistics

Standard deviation24.912794
Coefficient of variation (CV)0.043264874
Kurtosis493.33984
Mean575.82034
Median Absolute Deviation (MAD)4.1
Skewness-21.515581
Sum14601652
Variance620.64732
MonotonicityNot monotonic
2025-05-15T14:06:53.324716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
577.2 198
 
0.8%
578.4 184
 
0.7%
579 184
 
0.7%
576.9 184
 
0.7%
575 183
 
0.7%
578.3 181
 
0.7%
574.9 180
 
0.7%
579.5 179
 
0.7%
577.4 177
 
0.7%
580 176
 
0.7%
Other values (394) 23532
89.8%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 44
0.2%
309.6 1
 
< 0.1%
338 1
 
< 0.1%
409.1 1
 
< 0.1%
431.4 1
 
< 0.1%
492.6 1
 
< 0.1%
562.7 1
 
< 0.1%
562.9 1
 
< 0.1%
563.1 1
 
< 0.1%
563.6 1
 
< 0.1%
ValueCountFrequency (%)
604.7 1
 
< 0.1%
604.5 1
 
< 0.1%
604.4 1
 
< 0.1%
604.2 4
< 0.1%
604.1 1
 
< 0.1%
603.9 1
 
< 0.1%
603.8 2
< 0.1%
603.5 2
< 0.1%
603.2 2
< 0.1%
603.1 2
< 0.1%

Grid Production VoltagePhase2 Avg. [V]
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct412
Distinct (%)1.6%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean573.84406
Minimum0
Maximum602.2
Zeros44
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:53.404429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile565.7
Q1570.5
median574.6
Q3578.6
95-th percentile584.9
Maximum602.2
Range602.2
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation24.808606
Coefficient of variation (CV)0.043232312
Kurtosis494.83645
Mean573.84406
Median Absolute Deviation (MAD)4.1
Skewness-21.565357
Sum14551538
Variance615.46691
MonotonicityNot monotonic
2025-05-15T14:06:53.483084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
577.7 182
 
0.7%
575 182
 
0.7%
573.5 173
 
0.7%
575.8 173
 
0.7%
577 172
 
0.7%
574 172
 
0.7%
573.9 172
 
0.7%
577.6 172
 
0.7%
577.2 171
 
0.7%
572.5 171
 
0.7%
Other values (402) 23618
90.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 44
0.2%
308.6 1
 
< 0.1%
336.3 1
 
< 0.1%
407.9 1
 
< 0.1%
430.9 1
 
< 0.1%
491.3 1
 
< 0.1%
558.8 1
 
< 0.1%
559.3 1
 
< 0.1%
559.5 1
 
< 0.1%
559.6 1
 
< 0.1%
ValueCountFrequency (%)
602.2 1
 
< 0.1%
601.9 1
 
< 0.1%
601.8 1
 
< 0.1%
601.4 1
 
< 0.1%
601.3 1
 
< 0.1%
601.2 4
< 0.1%
601.1 2
< 0.1%
601 2
< 0.1%
600.8 1
 
< 0.1%
600.7 2
< 0.1%

Grid Production VoltagePhase3 Avg. [V]
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct422
Distinct (%)1.7%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean572.12752
Minimum0
Maximum601.2
Zeros44
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:53.563145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile563.7
Q1568.6
median572.9
Q3577.1
95-th percentile583.5
Maximum601.2
Range601.2
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation24.78814
Coefficient of variation (CV)0.04332625
Kurtosis490.53239
Mean572.12752
Median Absolute Deviation (MAD)4.2
Skewness-21.424296
Sum14508010
Variance614.45188
MonotonicityNot monotonic
2025-05-15T14:06:53.641982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
577.1 179
 
0.7%
575 176
 
0.7%
573.8 175
 
0.7%
572.8 175
 
0.7%
574.3 170
 
0.6%
574.2 169
 
0.6%
572 167
 
0.6%
573.9 167
 
0.6%
575.1 167
 
0.6%
574.7 167
 
0.6%
Other values (412) 23646
90.2%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 44
0.2%
308 1
 
< 0.1%
335.4 1
 
< 0.1%
406.3 1
 
< 0.1%
429.5 1
 
< 0.1%
489.8 1
 
< 0.1%
556.6 2
 
< 0.1%
557.1 1
 
< 0.1%
557.4 2
 
< 0.1%
557.6 1
 
< 0.1%
ValueCountFrequency (%)
601.2 1
 
< 0.1%
601.1 2
< 0.1%
600.9 4
< 0.1%
600.8 1
 
< 0.1%
600.7 1
 
< 0.1%
600.4 1
 
< 0.1%
600 1
 
< 0.1%
599.9 2
< 0.1%
599.8 1
 
< 0.1%
599.7 1
 
< 0.1%

Grid Production CurrentPhase1 Avg. [A]
Real number (ℝ)

High correlation  Missing 

Distinct8655
Distinct (%)34.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean332.75156
Minimum0
Maximum1745
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:53.716567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.185
Q111.6
median104.2
Q3447.725
95-th percentile1494
Maximum1745
Range1745
Interquartile range (IQR)436.125

Descriptive statistics

Standard deviation469.27156
Coefficient of variation (CV)1.4102761
Kurtosis1.4643956
Mean332.75156
Median Absolute Deviation (MAD)94.7
Skewness1.6075163
Sum8437914
Variance220215.8
MonotonicityNot monotonic
2025-05-15T14:06:53.795556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 577
 
2.2%
9.8 554
 
2.1%
2 412
 
1.6%
4 398
 
1.5%
9.9 379
 
1.4%
9.7 345
 
1.3%
10.9 276
 
1.1%
10.8 271
 
1.0%
10 197
 
0.8%
11 189
 
0.7%
Other values (8645) 21760
83.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
1 577
2.2%
1.1 25
 
0.1%
1.2 29
 
0.1%
1.3 47
 
0.2%
1.4 38
 
0.1%
1.5 18
 
0.1%
1.6 24
 
0.1%
1.7 24
 
0.1%
1.8 21
 
0.1%
ValueCountFrequency (%)
1745 1
< 0.1%
1744.4 1
< 0.1%
1744.3 1
< 0.1%
1744.2 1
< 0.1%
1741.5 1
< 0.1%
1741.3 1
< 0.1%
1741.2 1
< 0.1%
1741 1
< 0.1%
1740.8 1
< 0.1%
1739.9 1
< 0.1%

Grid Production CurrentPhase2 Avg. [A]
Real number (ℝ)

High correlation  Missing 

Distinct8796
Distinct (%)34.7%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean342.87266
Minimum0
Maximum1783.5
Zeros14
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:53.875058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111.1
median110.2
Q3469.875
95-th percentile1521.29
Maximum1783.5
Range1783.5
Interquartile range (IQR)458.775

Descriptive statistics

Standard deviation479.29568
Coefficient of variation (CV)1.3978825
Kurtosis1.3814113
Mean342.87266
Median Absolute Deviation (MAD)100.8
Skewness1.5829766
Sum8694564.8
Variance229724.35
MonotonicityNot monotonic
2025-05-15T14:06:54.098664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 797
 
3.0%
9.8 631
 
2.4%
9.7 415
 
1.6%
9.9 404
 
1.5%
10.8 319
 
1.2%
10.9 275
 
1.0%
10 205
 
0.8%
10.7 191
 
0.7%
3 168
 
0.6%
1.9 148
 
0.6%
Other values (8786) 21805
83.2%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 14
 
0.1%
0.1 1
 
< 0.1%
0.9 1
 
< 0.1%
1 797
3.0%
1.1 52
 
0.2%
1.2 7
 
< 0.1%
1.4 3
 
< 0.1%
1.5 7
 
< 0.1%
1.6 16
 
0.1%
1.7 87
 
0.3%
ValueCountFrequency (%)
1783.5 1
< 0.1%
1780 1
< 0.1%
1775.2 1
< 0.1%
1773.9 1
< 0.1%
1773.1 1
< 0.1%
1772.3 1
< 0.1%
1772.2 1
< 0.1%
1772 1
< 0.1%
1771.3 1
< 0.1%
1770.4 1
< 0.1%

Grid Production CurrentPhase3 Avg. [A]
Real number (ℝ)

High correlation  Missing 

Distinct8857
Distinct (%)34.9%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean344.22924
Minimum0
Maximum1771
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:54.175874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110.9
median113.3
Q3471
95-th percentile1523.6
Maximum1771
Range1771
Interquartile range (IQR)460.1

Descriptive statistics

Standard deviation478.77906
Coefficient of variation (CV)1.3908727
Kurtosis1.3766501
Mean344.22924
Median Absolute Deviation (MAD)104.5
Skewness1.5802084
Sum8728965
Variance229229.38
MonotonicityNot monotonic
2025-05-15T14:06:54.254062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 849
 
3.2%
9.8 348
 
1.3%
4 330
 
1.3%
9.7 329
 
1.3%
8.8 323
 
1.2%
10.8 227
 
0.9%
8.9 227
 
0.9%
10.7 206
 
0.8%
9.2 204
 
0.8%
9.9 200
 
0.8%
Other values (8847) 22115
84.4%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
1 2
 
< 0.1%
1.1 2
 
< 0.1%
1.2 8
 
< 0.1%
1.3 15
 
0.1%
1.4 9
 
< 0.1%
1.5 39
0.1%
1.6 75
0.3%
1.7 71
0.3%
1.8 71
0.3%
ValueCountFrequency (%)
1771 1
< 0.1%
1770.1 1
< 0.1%
1769.9 1
< 0.1%
1769.6 1
< 0.1%
1769.1 1
< 0.1%
1766.9 2
< 0.1%
1766.8 1
< 0.1%
1766.5 1
< 0.1%
1765.5 1
< 0.1%
1765 1
< 0.1%

Grid Production Power Max. [W]
Real number (ℝ)

High correlation  Missing 

Distinct11418
Distinct (%)45.0%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean808.32196
Minimum-3276.8
Maximum3276.6
Zeros41
Zeros (%)0.2%
Negative7382
Negative (%)28.2%
Memory size1.4 MiB
2025-05-15T14:06:54.331156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-11.2
Q1-1.8
median348.1
Q31228.1
95-th percentile3149.515
Maximum3276.6
Range6553.4
Interquartile range (IQR)1229.9

Descriptive statistics

Standard deviation1017.198
Coefficient of variation (CV)1.258407
Kurtosis0.25602323
Mean808.32196
Median Absolute Deviation (MAD)358.2
Skewness1.1968818
Sum20497428
Variance1034691.8
MonotonicityNot monotonic
2025-05-15T14:06:54.408613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9 312
 
1.2%
-10.9 296
 
1.1%
-1 230
 
0.9%
-11 230
 
0.9%
-10.8 229
 
0.9%
-9.6 223
 
0.9%
-10.6 221
 
0.8%
-10.7 211
 
0.8%
-10.5 199
 
0.8%
-9.8 199
 
0.8%
Other values (11408) 23008
87.8%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-3276.8 10
< 0.1%
-28.8 1
 
< 0.1%
-28.6 2
 
< 0.1%
-28.5 1
 
< 0.1%
-28.4 1
 
< 0.1%
-28.3 1
 
< 0.1%
-28.2 8
< 0.1%
-28.1 7
< 0.1%
-28 4
 
< 0.1%
-27.9 4
 
< 0.1%
ValueCountFrequency (%)
3276.6 1
< 0.1%
3175.6 1
< 0.1%
3173.7 1
< 0.1%
3173.5 1
< 0.1%
3172.7 1
< 0.1%
3171.5 1
< 0.1%
3171.2 1
< 0.1%
3170.6 1
< 0.1%
3169.5 1
< 0.1%
3168.8 1
< 0.1%

Grid Production Power Min. [W]
Real number (ℝ)

High correlation  Missing 

Distinct9362
Distinct (%)36.9%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean327.96804
Minimum-104.4
Maximum3276.7
Zeros46
Zeros (%)0.2%
Negative11220
Negative (%)42.8%
Memory size1.4 MiB
2025-05-15T14:06:54.483573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-104.4
5-th percentile-52
Q1-41.1
median37.2
Q3376.775
95-th percentile1805.865
Maximum3276.7
Range3381.1
Interquartile range (IQR)417.875

Descriptive statistics

Standard deviation611.58901
Coefficient of variation (CV)1.8647824
Kurtosis3.7912386
Mean327.96804
Median Absolute Deviation (MAD)81.8
Skewness2.0844831
Sum8316613.5
Variance374041.12
MonotonicityNot monotonic
2025-05-15T14:06:54.560969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 259
 
1.0%
-41.6 223
 
0.9%
-41.7 213
 
0.8%
-41.9 209
 
0.8%
-41.8 207
 
0.8%
-41.5 201
 
0.8%
-42.1 200
 
0.8%
-41.3 199
 
0.8%
-41.2 196
 
0.7%
-42 187
 
0.7%
Other values (9352) 23264
88.8%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-104.4 2
< 0.1%
-104.2 1
 
< 0.1%
-104.1 1
 
< 0.1%
-103.8 1
 
< 0.1%
-103.7 1
 
< 0.1%
-103.6 3
< 0.1%
-103.5 1
 
< 0.1%
-103.3 2
< 0.1%
-103.1 2
< 0.1%
-103 1
 
< 0.1%
ValueCountFrequency (%)
3276.7 10
< 0.1%
2995.3 1
 
< 0.1%
2994.9 2
 
< 0.1%
2994.8 1
 
< 0.1%
2994.6 1
 
< 0.1%
2994.5 2
 
< 0.1%
2994.4 1
 
< 0.1%
2994.3 1
 
< 0.1%
2994 2
 
< 0.1%
2993.8 1
 
< 0.1%

Grid Busbar Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct37
Distinct (%)0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean30.218038
Minimum0
Maximum50
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:54.634220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q127
median30
Q334
95-th percentile38
Maximum50
Range50
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.2736433
Coefficient of variation (CV)0.17451971
Kurtosis0.25027153
Mean30.218038
Median Absolute Deviation (MAD)4
Skewness-0.020335357
Sum766269
Variance27.811313
MonotonicityNot monotonic
2025-05-15T14:06:54.702436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
27 2329
 
8.9%
28 2274
 
8.7%
30 1818
 
6.9%
29 1775
 
6.8%
26 1742
 
6.6%
25 1588
 
6.1%
34 1470
 
5.6%
36 1461
 
5.6%
37 1326
 
5.1%
35 1277
 
4.9%
Other values (27) 8298
31.7%
ValueCountFrequency (%)
0 10
 
< 0.1%
15 44
 
0.2%
16 106
 
0.4%
17 141
0.5%
18 160
0.6%
19 205
0.8%
20 180
0.7%
21 228
0.9%
22 264
1.0%
23 276
1.1%
ValueCountFrequency (%)
50 12
 
< 0.1%
49 5
 
< 0.1%
48 15
 
0.1%
47 21
 
0.1%
46 41
0.2%
45 27
 
0.1%
44 22
 
0.1%
43 47
0.2%
42 54
0.2%
41 76
0.3%

Grid Production Power StdDev [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct4223
Distinct (%)16.7%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean100.92519
Minimum0
Maximum1506.6
Zeros960
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:54.775365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q15.3
median48
Q3144.6
95-th percentile349.8
Maximum1506.6
Range1506.6
Interquartile range (IQR)139.3

Descriptive statistics

Standard deviation146.9404
Coefficient of variation (CV)1.4559338
Kurtosis26.935461
Mean100.92519
Median Absolute Deviation (MAD)43.1
Skewness4.0026582
Sum2559261
Variance21591.481
MonotonicityNot monotonic
2025-05-15T14:06:54.855077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 960
 
3.7%
5 787
 
3.0%
5.1 773
 
2.9%
5.2 658
 
2.5%
4.9 647
 
2.5%
4.8 533
 
2.0%
5.3 479
 
1.8%
0.1 397
 
1.5%
0.2 354
 
1.4%
4.7 340
 
1.3%
Other values (4213) 19430
74.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 960
3.7%
0.1 397
1.5%
0.2 354
 
1.4%
0.3 47
 
0.2%
0.4 27
 
0.1%
0.5 44
 
0.2%
0.6 37
 
0.1%
0.7 20
 
0.1%
0.8 11
 
< 0.1%
0.9 9
 
< 0.1%
ValueCountFrequency (%)
1506.6 1
< 0.1%
1505.3 1
< 0.1%
1503.5 1
< 0.1%
1501.6 1
< 0.1%
1500.6 1
< 0.1%
1494.9 1
< 0.1%
1490.1 1
< 0.1%
1486.9 1
< 0.1%
1478.4 1
< 0.1%
1473.7 1
< 0.1%

Grid Production ReactivePower Avg. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct287
Distinct (%)1.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-2.2805269
Minimum-19.1
Maximum15.1
Zeros15458
Zeros (%)59.0%
Negative6974
Negative (%)26.6%
Memory size1.4 MiB
2025-05-15T14:06:54.933562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-19.1
5-th percentile-12.5
Q1-0.2
median0
Q30
95-th percentile1.7
Maximum15.1
Range34.2
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation4.8614041
Coefficient of variation (CV)-2.1317022
Kurtosis0.22785318
Mean-2.2805269
Median Absolute Deviation (MAD)0
Skewness-1.2657878
Sum-57829.6
Variance23.63325
MonotonicityNot monotonic
2025-05-15T14:06:55.014229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15458
59.0%
-0.1 489
 
1.9%
1.6 416
 
1.6%
1.7 323
 
1.2%
-0.2 211
 
0.8%
-10.9 204
 
0.8%
0.6 196
 
0.7%
-11 195
 
0.7%
-10.8 191
 
0.7%
-10.7 184
 
0.7%
Other values (277) 7491
28.6%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-19.1 1
 
< 0.1%
-19 1
 
< 0.1%
-18.4 1
 
< 0.1%
-18.1 1
 
< 0.1%
-18 1
 
< 0.1%
-17.9 3
< 0.1%
-17.8 1
 
< 0.1%
-17.7 3
< 0.1%
-17.5 3
< 0.1%
-17.3 2
< 0.1%
ValueCountFrequency (%)
15.1 1
< 0.1%
14.5 1
< 0.1%
14 1
< 0.1%
12.9 1
< 0.1%
12 1
< 0.1%
11.6 1
< 0.1%
11.2 1
< 0.1%
10.9 1
< 0.1%
10.7 1
< 0.1%
10.4 2
< 0.1%

Grid Production ReactivePower Max. [W]
Real number (ℝ)

High correlation  Missing 

Distinct317
Distinct (%)1.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.9349752
Minimum-18.6
Maximum43.2
Zeros208
Zeros (%)0.8%
Negative5909
Negative (%)22.5%
Memory size1.4 MiB
2025-05-15T14:06:55.094730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-18.6
5-th percentile-11.515
Q10.4
median0.6
Q31.8
95-th percentile31.3
Maximum43.2
Range61.8
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation11.114405
Coefficient of variation (CV)5.7439522
Kurtosis2.5511008
Mean1.9349752
Median Absolute Deviation (MAD)1
Skewness1.6723437
Sum49067.1
Variance123.53
MonotonicityNot monotonic
2025-05-15T14:06:55.171941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5 3854
 
14.7%
0.6 2641
 
10.1%
0.7 1351
 
5.2%
0.4 788
 
3.0%
1.8 718
 
2.7%
0.8 696
 
2.7%
1.7 617
 
2.4%
0.9 497
 
1.9%
-0.1 481
 
1.8%
1.9 445
 
1.7%
Other values (307) 13270
50.6%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-18.6 1
< 0.1%
-17.5 1
< 0.1%
-17.3 2
< 0.1%
-17.2 1
< 0.1%
-16.8 1
< 0.1%
-16.6 1
< 0.1%
-16.3 1
< 0.1%
-16.2 1
< 0.1%
-16 1
< 0.1%
-15.9 2
< 0.1%
ValueCountFrequency (%)
43.2 1
 
< 0.1%
43.1 1
 
< 0.1%
43 2
 
< 0.1%
36 2
 
< 0.1%
35.9 2
 
< 0.1%
35.8 2
 
< 0.1%
35.7 5
< 0.1%
35.6 3
< 0.1%
35.4 3
< 0.1%
35.3 3
< 0.1%

Grid Production ReactivePower Min. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct458
Distinct (%)1.8%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-7.8617912
Minimum-59.6
Maximum2.3
Zeros269
Zeros (%)1.0%
Negative24127
Negative (%)92.1%
Memory size1.4 MiB
2025-05-15T14:06:55.248471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-59.6
5-th percentile-28.2
Q1-20.575
median-1.3
Q3-0.9
95-th percentile-0.1
Maximum2.3
Range61.9
Interquartile range (IQR)19.675

Descriptive statistics

Standard deviation10.557208
Coefficient of variation (CV)-1.3428503
Kurtosis-0.33390498
Mean-7.8617912
Median Absolute Deviation (MAD)1.1
Skewness-1.1046385
Sum-199359.3
Variance111.45465
MonotonicityNot monotonic
2025-05-15T14:06:55.328020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9 3835
 
14.6%
-1 3574
 
13.6%
-1.1 1168
 
4.5%
-1.2 747
 
2.9%
-0.8 742
 
2.8%
-1.3 502
 
1.9%
-0.2 500
 
1.9%
1.6 396
 
1.5%
-1.4 294
 
1.1%
0 269
 
1.0%
Other values (448) 13331
50.9%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-59.6 1
< 0.1%
-58.5 1
< 0.1%
-52.6 1
< 0.1%
-51.6 1
< 0.1%
-51.1 1
< 0.1%
-49.2 1
< 0.1%
-48.9 1
< 0.1%
-48.6 1
< 0.1%
-47.3 1
< 0.1%
-47.1 1
< 0.1%
ValueCountFrequency (%)
2.3 1
 
< 0.1%
2.1 2
 
< 0.1%
2 3
 
< 0.1%
1.9 12
 
< 0.1%
1.8 94
 
0.4%
1.7 231
0.9%
1.6 396
1.5%
1.5 48
 
0.2%
1.4 5
 
< 0.1%
1.3 4
 
< 0.1%

Grid Production ReactivePower StdDev [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct204
Distinct (%)0.8%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.6421208
Minimum0
Maximum27.9
Zeros2006
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:55.406090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.2
Q31.6
95-th percentile10.7
Maximum27.9
Range27.9
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation3.3624076
Coefficient of variation (CV)2.0476006
Kurtosis8.6363371
Mean1.6421208
Median Absolute Deviation (MAD)0.2
Skewness2.9809801
Sum41640.9
Variance11.305785
MonotonicityNot monotonic
2025-05-15T14:06:55.483723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 9419
35.9%
0 2006
 
7.7%
0.3 1622
 
6.2%
0.2 1561
 
6.0%
0.4 1302
 
5.0%
1.6 955
 
3.6%
1.5 952
 
3.6%
0.5 789
 
3.0%
1.7 638
 
2.4%
1.8 395
 
1.5%
Other values (194) 5719
21.8%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 2006
 
7.7%
0.1 9419
35.9%
0.2 1561
 
6.0%
0.3 1622
 
6.2%
0.4 1302
 
5.0%
0.5 789
 
3.0%
0.6 336
 
1.3%
0.7 104
 
0.4%
0.8 32
 
0.1%
0.9 19
 
0.1%
ValueCountFrequency (%)
27.9 1
 
< 0.1%
26.8 1
 
< 0.1%
20.7 1
 
< 0.1%
20.6 1
 
< 0.1%
20.5 1
 
< 0.1%
20.1 1
 
< 0.1%
20 1
 
< 0.1%
19.9 1
 
< 0.1%
19.8 2
< 0.1%
19.5 3
< 0.1%

Grid Production PossiblePower Avg. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2875
Distinct (%)11.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean757.76891
Minimum0
Maximum3002
Zeros3054
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:55.709865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166
median329
Q31158
95-th percentile2911
Maximum3002
Range3002
Interquartile range (IQR)1092

Descriptive statistics

Standard deviation920.7226
Coefficient of variation (CV)1.215044
Kurtosis0.28479909
Mean757.76891
Median Absolute Deviation (MAD)316
Skewness1.2595413
Sum19215504
Variance847730.11
MonotonicityNot monotonic
2025-05-15T14:06:55.789275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3054
 
11.7%
3000 464
 
1.8%
23 120
 
0.5%
30 107
 
0.4%
34 104
 
0.4%
28 90
 
0.3%
44 81
 
0.3%
25 78
 
0.3%
26 75
 
0.3%
2999 74
 
0.3%
Other values (2865) 21111
80.6%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 3054
11.7%
1 70
 
0.3%
2 61
 
0.2%
3 33
 
0.1%
4 40
 
0.2%
5 39
 
0.1%
6 31
 
0.1%
7 47
 
0.2%
8 39
 
0.1%
9 59
 
0.2%
ValueCountFrequency (%)
3002 1
 
< 0.1%
3000 464
1.8%
2999 74
 
0.3%
2998 41
 
0.2%
2997 39
 
0.1%
2996 30
 
0.1%
2995 30
 
0.1%
2994 21
 
0.1%
2993 19
 
0.1%
2992 13
 
< 0.1%

Grid Production PossiblePower Max. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2981
Distinct (%)11.8%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1034.1999
Minimum0
Maximum3150
Zeros3011
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:55.868564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1178
median587
Q31723
95-th percentile3150
Maximum3150
Range3150
Interquartile range (IQR)1545

Descriptive statistics

Standard deviation1065.8398
Coefficient of variation (CV)1.0305936
Kurtosis-0.64051236
Mean1034.1999
Median Absolute Deviation (MAD)528
Skewness0.89660416
Sum26225240
Variance1136014.4
MonotonicityNot monotonic
2025-05-15T14:06:55.945557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3011
 
11.5%
3150 1639
 
6.3%
3000 1180
 
4.5%
23 75
 
0.3%
30 75
 
0.3%
44 63
 
0.2%
34 63
 
0.2%
28 52
 
0.2%
66 49
 
0.2%
24 42
 
0.2%
Other values (2971) 19109
72.9%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 3011
11.5%
15 1
 
< 0.1%
19 2
 
< 0.1%
21 2
 
< 0.1%
22 4
 
< 0.1%
23 75
 
0.3%
24 42
 
0.2%
25 39
 
0.1%
26 25
 
0.1%
27 17
 
0.1%
ValueCountFrequency (%)
3150 1639
6.3%
3149 2
 
< 0.1%
3146 2
 
< 0.1%
3145 7
 
< 0.1%
3144 4
 
< 0.1%
3143 1
 
< 0.1%
3142 1
 
< 0.1%
3141 1
 
< 0.1%
3140 3
 
< 0.1%
3139 1
 
< 0.1%

Grid Production PossiblePower Min. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2589
Distinct (%)10.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean425.90031
Minimum-100
Maximum3000
Zeros4558
Zeros (%)17.4%
Negative3291
Negative (%)12.6%
Memory size1.4 MiB
2025-05-15T14:06:56.023085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-44
Q10
median106
Q3516
95-th percentile2030.15
Maximum3000
Range3100
Interquartile range (IQR)516

Descriptive statistics

Standard deviation690.25152
Coefficient of variation (CV)1.620688
Kurtosis3.3976652
Mean425.90031
Median Absolute Deviation (MAD)114
Skewness1.9924045
Sum10799980
Variance476447.17
MonotonicityNot monotonic
2025-05-15T14:06:56.103415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4558
 
17.4%
-100 573
 
2.2%
3000 395
 
1.5%
23 133
 
0.5%
30 113
 
0.4%
34 108
 
0.4%
44 94
 
0.4%
28 89
 
0.3%
25 80
 
0.3%
24 78
 
0.3%
Other values (2579) 19137
73.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-100 573
2.2%
-99 14
 
0.1%
-98 4
 
< 0.1%
-97 6
 
< 0.1%
-96 4
 
< 0.1%
-95 8
 
< 0.1%
-94 9
 
< 0.1%
-93 9
 
< 0.1%
-92 8
 
< 0.1%
-91 3
 
< 0.1%
ValueCountFrequency (%)
3000 395
1.5%
2996 1
 
< 0.1%
2994 2
 
< 0.1%
2991 1
 
< 0.1%
2986 1
 
< 0.1%
2983 1
 
< 0.1%
2977 1
 
< 0.1%
2976 1
 
< 0.1%
2973 1
 
< 0.1%
2972 1
 
< 0.1%

Grid Production PossiblePower StdDev [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct778
Distinct (%)3.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean122.74754
Minimum0
Maximum1248
Zeros3755
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:56.181746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median72
Q3179
95-th percentile409
Maximum1248
Range1248
Interquartile range (IQR)155

Descriptive statistics

Standard deviation139.79191
Coefficient of variation (CV)1.1388572
Kurtosis4.6369309
Mean122.74754
Median Absolute Deviation (MAD)63
Skewness1.881818
Sum3112632
Variance19541.779
MonotonicityNot monotonic
2025-05-15T14:06:56.262238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3755
 
14.3%
31 181
 
0.7%
30 181
 
0.7%
35 176
 
0.7%
34 174
 
0.7%
27 173
 
0.7%
26 171
 
0.7%
15 170
 
0.6%
18 169
 
0.6%
40 165
 
0.6%
Other values (768) 20043
76.5%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 3755
14.3%
1 39
 
0.1%
2 40
 
0.2%
3 34
 
0.1%
4 29
 
0.1%
5 45
 
0.2%
6 74
 
0.3%
7 80
 
0.3%
8 97
 
0.4%
9 70
 
0.3%
ValueCountFrequency (%)
1248 1
< 0.1%
1221 1
< 0.1%
1213 1
< 0.1%
1170 1
< 0.1%
1085 1
< 0.1%
1076 1
< 0.1%
1060 1
< 0.1%
1051 1
< 0.1%
1045 1
< 0.1%
1031 1
< 0.1%

Grid Production PossibleInductive Avg. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
0.0
25358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:56.332171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:56.365908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Grid Production PossibleInductive Max. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
0.0
25358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:56.407405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:56.440964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Grid Production PossibleInductive Min. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
0.0
25358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:56.480441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:56.515566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Grid Production PossibleInductive StdDev [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
0.0
25358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:56.555293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:56.589109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Grid Production PossibleCapacitive Avg. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
0.0
25358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:56.630531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:56.664164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Grid Production PossibleCapacitive Max. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
0.0
25358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:56.703864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:56.739196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Grid Production PossibleCapacitive Min. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
0.0
25358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:56.779683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:56.813614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Grid Production PossibleCapacitive StdDev [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
0.0
25358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:56.855074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:56.888907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Active power limit [W]
Real number (ℝ)

High correlation  Missing 

Distinct26
Distinct (%)0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2923.3272
Minimum0
Maximum3000
Zeros261
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:56.927108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2595
Q13000
median3000
Q33000
95-th percentile3000
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation326.9213
Coefficient of variation (CV)0.11183192
Kurtosis63.175365
Mean2923.3272
Median Absolute Deviation (MAD)0
Skewness-7.5430348
Sum74129730
Variance106877.53
MonotonicityNot monotonic
2025-05-15T14:06:56.988137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3000 21659
82.6%
2685 339
 
1.3%
2595 339
 
1.3%
2775 336
 
1.3%
2820 332
 
1.3%
2730 313
 
1.2%
2640 280
 
1.1%
0 261
 
1.0%
2910 221
 
0.8%
2505 191
 
0.7%
Other values (16) 1087
 
4.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 261
1.0%
1650 3
 
< 0.1%
1965 23
 
0.1%
2010 8
 
< 0.1%
2055 7
 
< 0.1%
2100 6
 
< 0.1%
2145 2
 
< 0.1%
2190 2
 
< 0.1%
2235 9
 
< 0.1%
2280 7
 
< 0.1%
ValueCountFrequency (%)
3000 21659
82.6%
2955 139
 
0.5%
2910 221
 
0.8%
2865 188
 
0.7%
2820 332
 
1.3%
2775 336
 
1.3%
2730 313
 
1.2%
2685 339
 
1.3%
2640 280
 
1.1%
2595 339
 
1.3%

Active power limit source
Categorical

High correlation  Imbalance  Missing 

Distinct2
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
11.0
25276 
0.0
 
82

Length

Max length4
Median length4
Mean length3.9967663
Min length3

Characters and Unicode

Total characters101350
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 25276
96.4%
0.0 82
 
0.3%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:57.051281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:57.090368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 25276
99.7%
0.0 82
 
0.3%

Most occurring characters

ValueCountFrequency (%)
1 50552
49.9%
0 25440
25.1%
. 25358
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 101350
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 50552
49.9%
0 25440
25.1%
. 25358
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 101350
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 50552
49.9%
0 25440
25.1%
. 25358
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 101350
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 50552
49.9%
0 25440
25.1%
. 25358
25.0%

Reactive power set point [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
0.0
25358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:57.133654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:57.167210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50716
66.7%
. 25358
33.3%

Power factor set point
Categorical

High correlation  Imbalance  Missing 

Distinct2
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
1.0
25276 
0.0
 
82

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76074
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 25276
96.4%
0.0 82
 
0.3%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:57.208307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:57.244193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 25276
99.7%
0.0 82
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 25440
33.4%
. 25358
33.3%
1 25276
33.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 25440
33.4%
. 25358
33.3%
1 25276
33.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 25440
33.4%
. 25358
33.3%
1 25276
33.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 25440
33.4%
. 25358
33.3%
1 25276
33.2%

Power factor set point source
Categorical

High correlation  Imbalance  Missing 

Distinct2
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.5 MiB
11.0
25276 
0.0
 
82

Length

Max length4
Median length4
Mean length3.9967663
Min length3

Characters and Unicode

Total characters101350
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 25276
96.4%
0.0 82
 
0.3%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:57.288525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:57.327289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 25276
99.7%
0.0 82
 
0.3%

Most occurring characters

ValueCountFrequency (%)
1 50552
49.9%
0 25440
25.1%
. 25358
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 101350
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 50552
49.9%
0 25440
25.1%
. 25358
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 101350
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 50552
49.9%
0 25440
25.1%
. 25358
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 101350
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 50552
49.9%
0 25440
25.1%
. 25358
25.0%

Controller Ground Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct31
Distinct (%)0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean21.279123
Minimum0
Maximum41
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:57.371935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q118
median21
Q324
95-th percentile30
Maximum41
Range41
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.8994076
Coefficient of variation (CV)0.23024481
Kurtosis0.76291129
Mean21.279123
Median Absolute Deviation (MAD)3
Skewness0.71590979
Sum539596
Variance24.004195
MonotonicityNot monotonic
2025-05-15T14:06:57.575089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
18 2489
 
9.5%
24 2367
 
9.0%
17 2250
 
8.6%
19 1933
 
7.4%
25 1746
 
6.7%
16 1746
 
6.7%
20 1724
 
6.6%
23 1653
 
6.3%
21 1568
 
6.0%
22 1240
 
4.7%
Other values (21) 6642
25.3%
ValueCountFrequency (%)
0 10
 
< 0.1%
12 23
 
0.1%
13 385
 
1.5%
14 858
 
3.3%
15 1030
3.9%
16 1746
6.7%
17 2250
8.6%
18 2489
9.5%
19 1933
7.4%
20 1724
6.6%
ValueCountFrequency (%)
41 19
 
0.1%
40 36
 
0.1%
39 55
 
0.2%
38 44
 
0.2%
37 61
 
0.2%
36 67
 
0.3%
35 65
 
0.2%
34 194
0.7%
33 195
0.7%
32 192
0.7%

Controller Top Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct30
Distinct (%)0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean25.697334
Minimum0
Maximum42
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:57.636258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21
Q123
median25
Q327
95-th percentile34
Maximum42
Range42
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.1299056
Coefficient of variation (CV)0.16071339
Kurtosis1.8629815
Mean25.697334
Median Absolute Deviation (MAD)2
Skewness1.1136865
Sum651633
Variance17.05612
MonotonicityNot monotonic
2025-05-15T14:06:57.700556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
23 4530
17.3%
24 3727
14.2%
25 2772
10.6%
22 2623
10.0%
26 1900
7.2%
27 1884
7.2%
28 1274
 
4.9%
21 1204
 
4.6%
30 843
 
3.2%
32 682
 
2.6%
Other values (20) 3919
15.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
14 3
 
< 0.1%
15 15
 
0.1%
16 22
 
0.1%
17 37
 
0.1%
18 62
 
0.2%
19 126
 
0.5%
20 312
 
1.2%
21 1204
4.6%
22 2623
10.0%
ValueCountFrequency (%)
42 14
 
0.1%
41 34
 
0.1%
40 60
 
0.2%
39 133
 
0.5%
38 247
0.9%
37 177
 
0.7%
36 324
1.2%
35 207
0.8%
34 476
1.8%
33 418
1.6%

Controller Hub Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct28
Distinct (%)0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean23.04957
Minimum0
Maximum40
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:57.762894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q120
median21
Q324
95-th percentile33
Maximum40
Range40
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.2172287
Coefficient of variation (CV)0.18296344
Kurtosis3.0187348
Mean23.04957
Median Absolute Deviation (MAD)1
Skewness1.6121595
Sum584491
Variance17.785018
MonotonicityNot monotonic
2025-05-15T14:06:57.829554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
21 5824
22.2%
20 5030
19.2%
22 2741
10.5%
23 2384
9.1%
19 1448
 
5.5%
25 1364
 
5.2%
24 1138
 
4.3%
26 782
 
3.0%
27 718
 
2.7%
28 594
 
2.3%
Other values (18) 3335
12.7%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
14 5
 
< 0.1%
15 15
 
0.1%
16 51
 
0.2%
17 123
 
0.5%
18 305
 
1.2%
19 1448
 
5.5%
20 5030
19.2%
21 5824
22.2%
22 2741
10.5%
ValueCountFrequency (%)
40 118
 
0.5%
39 65
 
0.2%
38 85
 
0.3%
37 85
 
0.3%
36 209
0.8%
35 225
0.9%
34 346
1.3%
33 218
0.8%
32 239
0.9%
31 256
1.0%

Controller VCP Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct37
Distinct (%)0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean35.195244
Minimum0
Maximum54
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:57.900131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q132
median34
Q338
95-th percentile44
Maximum54
Range54
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.588679
Coefficient of variation (CV)0.13037781
Kurtosis1.6290229
Mean35.195244
Median Absolute Deviation (MAD)3
Skewness0.53512053
Sum892481
Variance21.055975
MonotonicityNot monotonic
2025-05-15T14:06:57.970646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
31 3050
11.6%
32 2767
10.6%
34 2590
9.9%
33 2422
9.2%
30 2190
8.4%
35 1779
 
6.8%
37 1715
 
6.5%
36 1577
 
6.0%
38 1251
 
4.8%
41 920
 
3.5%
Other values (27) 5097
19.4%
ValueCountFrequency (%)
0 10
 
< 0.1%
19 13
 
< 0.1%
20 14
 
0.1%
21 5
 
< 0.1%
22 10
 
< 0.1%
23 43
0.2%
24 55
0.2%
25 24
0.1%
26 27
0.1%
27 32
0.1%
ValueCountFrequency (%)
54 7
 
< 0.1%
53 8
 
< 0.1%
52 11
 
< 0.1%
51 32
 
0.1%
50 39
 
0.1%
49 63
 
0.2%
48 74
 
0.3%
47 168
0.6%
46 231
0.9%
45 268
1.0%

Controller VCP ChokecoilTemp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct101
Distinct (%)0.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean57.002208
Minimum0
Maximum113
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:58.047019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q140
median62
Q369
95-th percentile91
Maximum113
Range113
Interquartile range (IQR)29

Descriptive statistics

Standard deviation20.220017
Coefficient of variation (CV)0.35472339
Kurtosis-0.53377259
Mean57.002208
Median Absolute Deviation (MAD)11
Skewness-0.12544697
Sum1445462
Variance408.84907
MonotonicityNot monotonic
2025-05-15T14:06:58.124372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66 1095
 
4.2%
64 1054
 
4.0%
65 1046
 
4.0%
67 861
 
3.3%
63 858
 
3.3%
28 857
 
3.3%
62 795
 
3.0%
68 738
 
2.8%
61 737
 
2.8%
69 667
 
2.5%
Other values (91) 16650
63.5%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
14 13
 
< 0.1%
15 36
 
0.1%
16 78
 
0.3%
17 130
0.5%
18 119
0.5%
19 168
0.6%
20 232
0.9%
21 192
0.7%
22 114
0.4%
ValueCountFrequency (%)
113 1
 
< 0.1%
112 3
 
< 0.1%
111 9
 
< 0.1%
110 8
 
< 0.1%
109 5
 
< 0.1%
108 12
 
< 0.1%
107 7
 
< 0.1%
106 13
 
< 0.1%
105 30
0.1%
104 60
0.2%

Controller VCP WaterTemp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct54
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean34.000315
Minimum0
Maximum60
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:58.199489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q130
median33
Q338
95-th percentile45
Maximum60
Range60
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.9388638
Coefficient of variation (CV)0.17467084
Kurtosis1.2774979
Mean34.000315
Median Absolute Deviation (MAD)4
Skewness0.26632235
Sum862180
Variance35.270103
MonotonicityNot monotonic
2025-05-15T14:06:58.280316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 3613
13.8%
30 3515
13.4%
38 2282
 
8.7%
37 2092
 
8.0%
32 1644
 
6.3%
29 1248
 
4.8%
36 1194
 
4.6%
34 901
 
3.4%
33 899
 
3.4%
35 824
 
3.1%
Other values (44) 7146
27.3%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
< 0.1%
8 18
0.1%
9 12
< 0.1%
10 6
 
< 0.1%
11 5
 
< 0.1%
12 5
 
< 0.1%
13 5
 
< 0.1%
14 4
 
< 0.1%
15 3
 
< 0.1%
16 7
 
< 0.1%
ValueCountFrequency (%)
60 11
 
< 0.1%
59 3
 
< 0.1%
58 4
 
< 0.1%
57 3
 
< 0.1%
56 13
 
< 0.1%
55 17
 
0.1%
54 37
0.1%
53 23
0.1%
52 33
0.1%
51 53
0.2%

Spinner Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct33
Distinct (%)0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean17.100205
Minimum0
Maximum39
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:58.354391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q113
median16
Q319
95-th percentile28
Maximum39
Range39
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1446114
Coefficient of variation (CV)0.30085086
Kurtosis1.4862097
Mean17.100205
Median Absolute Deviation (MAD)3
Skewness1.2202222
Sum433627
Variance26.467026
MonotonicityNot monotonic
2025-05-15T14:06:58.423787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
13 2765
10.6%
14 2665
10.2%
12 2485
9.5%
15 2390
9.1%
16 2210
 
8.4%
17 2000
 
7.6%
18 1684
 
6.4%
19 1372
 
5.2%
20 1053
 
4.0%
21 969
 
3.7%
Other values (23) 5765
22.0%
ValueCountFrequency (%)
0 10
 
< 0.1%
8 15
 
0.1%
9 92
 
0.4%
10 518
 
2.0%
11 884
 
3.4%
12 2485
9.5%
13 2765
10.6%
14 2665
10.2%
15 2390
9.1%
16 2210
8.4%
ValueCountFrequency (%)
39 8
 
< 0.1%
38 31
 
0.1%
37 14
 
0.1%
36 63
 
0.2%
35 56
 
0.2%
34 74
 
0.3%
33 76
 
0.3%
32 85
 
0.3%
31 214
0.8%
30 303
1.2%

Spinner Temp. SlipRing Avg. [°C]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.6 MiB
999.0
25358 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters126790
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:58.489024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:58.522789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 76074
60.0%
. 25358
 
20.0%
0 25358
 
20.0%

Blades PitchAngle Min. [°]
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct379
Distinct (%)1.5%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean17.924627
Minimum-3276.8
Maximum100.1
Zeros238
Zeros (%)0.9%
Negative8849
Negative (%)33.8%
Memory size1.4 MiB
2025-05-15T14:06:58.572718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-2.1
Q1-0.9
median1.7
Q320
95-th percentile88.9
Maximum100.1
Range3376.9
Interquartile range (IQR)20.9

Descriptive statistics

Standard deviation72.306878
Coefficient of variation (CV)4.0339404
Kurtosis1697.5694
Mean17.924627
Median Absolute Deviation (MAD)3.7
Skewness-37.19079
Sum454532.7
Variance5228.2846
MonotonicityNot monotonic
2025-05-15T14:06:58.650643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3644
 
13.9%
78 2015
 
7.7%
88.9 1664
 
6.3%
0.9 845
 
3.2%
88.7 518
 
2.0%
0.8 495
 
1.9%
-1.3 478
 
1.8%
-1.2 474
 
1.8%
-1.4 455
 
1.7%
-2.3 439
 
1.7%
Other values (369) 14331
54.7%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-3276.8 10
 
< 0.1%
-2.7 4
 
< 0.1%
-2.6 35
 
0.1%
-2.5 55
 
0.2%
-2.4 225
0.9%
-2.3 439
1.7%
-2.2 401
1.5%
-2.1 377
1.4%
-2 389
1.5%
-1.9 375
1.4%
ValueCountFrequency (%)
100.1 1
 
< 0.1%
91.4 6
 
< 0.1%
91.2 4
 
< 0.1%
90 1
 
< 0.1%
89 59
 
0.2%
88.9 1664
6.3%
88.8 4
 
< 0.1%
88.7 518
 
2.0%
88.6 2
 
< 0.1%
88 1
 
< 0.1%

Blades PitchAngle Max. [°]
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct232
Distinct (%)0.9%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean15.47652
Minimum-3
Maximum3276.7
Zeros149
Zeros (%)0.6%
Negative17253
Negative (%)65.8%
Memory size1.4 MiB
2025-05-15T14:06:58.727383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-2.8
Q1-2.8
median-2.5
Q320
95-th percentile88.7
Maximum3276.7
Range3279.7
Interquartile range (IQR)22.8

Descriptive statistics

Standard deviation71.764252
Coefficient of variation (CV)4.636976
Kurtosis1679.3978
Mean15.47652
Median Absolute Deviation (MAD)0.3
Skewness37.137539
Sum392453.6
Variance5150.1079
MonotonicityNot monotonic
2025-05-15T14:06:58.804395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.8 11068
42.2%
20 3232
 
12.3%
78 1912
 
7.3%
88.7 1002
 
3.8%
-2.7 909
 
3.5%
88.9 907
 
3.5%
-2.6 589
 
2.2%
-2.5 356
 
1.4%
-2.4 301
 
1.1%
-1.3 285
 
1.1%
Other values (222) 4797
18.3%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-3 1
 
< 0.1%
-2.8 11068
42.2%
-2.7 909
 
3.5%
-2.6 589
 
2.2%
-2.5 356
 
1.4%
-2.4 301
 
1.1%
-2.3 245
 
0.9%
-2.2 164
 
0.6%
-2.1 184
 
0.7%
-2 181
 
0.7%
ValueCountFrequency (%)
3276.7 10
 
< 0.1%
91.4 1
 
< 0.1%
91.2 1
 
< 0.1%
90 1
 
< 0.1%
88.9 907
3.5%
88.8 7
 
< 0.1%
88.7 1002
3.8%
88.6 22
 
0.1%
87.7 1
 
< 0.1%
85 1
 
< 0.1%

Blades PitchAngle Avg. [°]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct492
Distinct (%)1.9%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean15.987101
Minimum-2.7
Maximum91.4
Zeros280
Zeros (%)1.1%
Negative14039
Negative (%)53.6%
Memory size1.4 MiB
2025-05-15T14:06:58.882716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.6
Q1-2.3
median-0.6
Q320
95-th percentile88.7
Maximum91.4
Range94.1
Interquartile range (IQR)22.3

Descriptive statistics

Standard deviation30.667222
Coefficient of variation (CV)1.9182479
Kurtosis0.96858265
Mean15.987101
Median Absolute Deviation (MAD)1.9
Skewness1.6243722
Sum405400.9
Variance940.47853
MonotonicityNot monotonic
2025-05-15T14:06:58.960515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.5 3322
 
12.7%
20 3201
 
12.2%
78 1892
 
7.2%
-2.4 1148
 
4.4%
-2.6 1095
 
4.2%
88.9 907
 
3.5%
88.7 792
 
3.0%
-2.3 683
 
2.6%
-1.9 547
 
2.1%
-2.2 527
 
2.0%
Other values (482) 11244
42.9%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-2.7 245
 
0.9%
-2.6 1095
 
4.2%
-2.5 3322
12.7%
-2.4 1148
 
4.4%
-2.3 683
 
2.6%
-2.2 527
 
2.0%
-2.1 471
 
1.8%
-2 418
 
1.6%
-1.9 547
 
2.1%
-1.8 417
 
1.6%
ValueCountFrequency (%)
91.4 1
 
< 0.1%
91.3 5
 
< 0.1%
91.2 1
 
< 0.1%
91.1 3
 
< 0.1%
89.2 1
 
< 0.1%
88.9 907
3.5%
88.8 278
 
1.1%
88.7 792
3.0%
88.6 10
 
< 0.1%
88.5 4
 
< 0.1%

Blades PitchAngle StdDev [°]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct283
Distinct (%)1.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.195323
Minimum0
Maximum44.3
Zeros7876
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:59.185194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.8
95-th percentile6.6
Maximum44.3
Range44.3
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation3.6643924
Coefficient of variation (CV)3.0656086
Kurtosis60.817861
Mean1.195323
Median Absolute Deviation (MAD)0.2
Skewness7.0493043
Sum30311
Variance13.427772
MonotonicityNot monotonic
2025-05-15T14:06:59.260587image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7876
30.1%
0.1 2984
 
11.4%
0.2 2050
 
7.8%
0.3 1594
 
6.1%
0.4 1446
 
5.5%
0.5 1186
 
4.5%
0.6 969
 
3.7%
0.7 742
 
2.8%
0.8 617
 
2.4%
0.9 490
 
1.9%
Other values (273) 5404
20.6%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 7876
30.1%
0.1 2984
 
11.4%
0.2 2050
 
7.8%
0.3 1594
 
6.1%
0.4 1446
 
5.5%
0.5 1186
 
4.5%
0.6 969
 
3.7%
0.7 742
 
2.8%
0.8 617
 
2.4%
0.9 490
 
1.9%
ValueCountFrequency (%)
44.3 1
 
< 0.1%
44.2 1
 
< 0.1%
43.8 1
 
< 0.1%
43.6 3
< 0.1%
43.4 1
 
< 0.1%
43.3 1
 
< 0.1%
43.2 1
 
< 0.1%
43 1
 
< 0.1%
42.7 2
< 0.1%
42.3 1
 
< 0.1%

HVTrafo Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct65
Distinct (%)0.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean54.932211
Minimum0
Maximum97
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:59.337396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43
Q148
median51
Q359
95-th percentile80
Maximum97
Range97
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.301722
Coefficient of variation (CV)0.20573944
Kurtosis1.4503858
Mean54.932211
Median Absolute Deviation (MAD)4
Skewness1.2731012
Sum1392971
Variance127.72893
MonotonicityNot monotonic
2025-05-15T14:06:59.414656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 2200
 
8.4%
49 1893
 
7.2%
50 1847
 
7.0%
47 1774
 
6.8%
46 1722
 
6.6%
51 1208
 
4.6%
52 1195
 
4.6%
54 1050
 
4.0%
53 837
 
3.2%
55 820
 
3.1%
Other values (55) 10812
41.3%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
34 25
 
0.1%
35 66
 
0.3%
36 108
 
0.4%
37 78
 
0.3%
38 43
 
0.2%
39 52
 
0.2%
40 40
 
0.2%
41 155
 
0.6%
42 429
1.6%
ValueCountFrequency (%)
97 3
 
< 0.1%
96 11
 
< 0.1%
95 11
 
< 0.1%
94 41
0.2%
93 50
0.2%
92 47
0.2%
91 64
0.2%
90 67
0.3%
89 56
0.2%
88 85
0.3%

HVTrafo Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct64
Distinct (%)0.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean60.716539
Minimum0
Maximum94
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:59.491691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49
Q155
median59
Q365
95-th percentile81
Maximum94
Range94
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.3596584
Coefficient of variation (CV)0.15415336
Kurtosis1.4961593
Mean60.716539
Median Absolute Deviation (MAD)5
Skewness0.77466204
Sum1539650
Variance87.603206
MonotonicityNot monotonic
2025-05-15T14:06:59.571917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 2006
 
7.7%
57 1743
 
6.7%
58 1571
 
6.0%
55 1508
 
5.8%
59 1429
 
5.5%
53 1282
 
4.9%
54 1264
 
4.8%
60 1152
 
4.4%
61 989
 
3.8%
63 981
 
3.7%
Other values (54) 11433
43.6%
ValueCountFrequency (%)
0 10
 
< 0.1%
32 3
 
< 0.1%
33 25
0.1%
34 14
 
0.1%
35 7
 
< 0.1%
36 13
 
< 0.1%
37 7
 
< 0.1%
38 13
 
< 0.1%
39 19
0.1%
40 35
0.1%
ValueCountFrequency (%)
94 11
 
< 0.1%
93 16
 
0.1%
92 22
 
0.1%
91 29
 
0.1%
90 33
 
0.1%
89 44
 
0.2%
88 64
0.2%
87 93
0.4%
86 98
0.4%
85 148
0.6%

HVTrafo Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct65
Distinct (%)0.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean54.799629
Minimum0
Maximum96
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:59.652295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42
Q147
median51
Q359
95-th percentile80
Maximum96
Range96
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.454089
Coefficient of variation (CV)0.20901764
Kurtosis1.4513547
Mean54.799629
Median Absolute Deviation (MAD)5
Skewness1.2555213
Sum1389609
Variance131.19616
MonotonicityNot monotonic
2025-05-15T14:06:59.729357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 2182
 
8.3%
50 1831
 
7.0%
46 1831
 
7.0%
49 1808
 
6.9%
47 1564
 
6.0%
52 1220
 
4.7%
51 1152
 
4.4%
54 962
 
3.7%
55 773
 
2.9%
56 747
 
2.9%
Other values (55) 11288
43.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
33 21
 
0.1%
34 51
 
0.2%
35 36
 
0.1%
36 113
 
0.4%
37 104
 
0.4%
38 49
 
0.2%
39 65
 
0.2%
40 114
 
0.4%
41 305
1.2%
ValueCountFrequency (%)
96 1
 
< 0.1%
95 38
0.1%
94 61
0.2%
93 44
0.2%
92 52
0.2%
91 62
0.2%
90 72
0.3%
89 66
0.3%
88 74
0.3%
87 78
0.3%

HVTrafo AirOutlet Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct54
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean40.620317
Minimum0
Maximum57
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:06:59.804719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q139
median42
Q344
95-th percentile48
Maximum57
Range57
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.2701775
Coefficient of variation (CV)0.17897885
Kurtosis6.9939024
Mean40.620317
Median Absolute Deviation (MAD)2
Skewness-2.4169133
Sum1030050
Variance52.85548
MonotonicityNot monotonic
2025-05-15T14:06:59.880837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 2943
11.2%
43 2715
10.4%
41 2653
10.1%
40 2258
8.6%
44 2203
8.4%
39 1916
 
7.3%
45 1763
 
6.7%
38 1581
 
6.0%
46 1402
 
5.3%
47 1063
 
4.1%
Other values (44) 4861
18.5%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
5 17
 
0.1%
6 32
0.1%
7 36
0.1%
8 51
0.2%
9 72
0.3%
10 42
0.2%
11 47
0.2%
12 67
0.3%
13 60
0.2%
ValueCountFrequency (%)
57 1
 
< 0.1%
56 1
 
< 0.1%
55 26
 
0.1%
54 29
 
0.1%
53 45
 
0.2%
52 73
 
0.3%
51 151
 
0.6%
50 249
 
1.0%
49 407
1.6%
48 777
3.0%

HourCounters Average Total Avg. [h]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Memory size2.6 MiB
600.0
25358 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters126790
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600.0
2nd row600.0
3rd row600.0
4th row600.0
5th row600.0

Common Values

ValueCountFrequency (%)
600.0 25358
96.8%
(Missing) 850
 
3.2%

Length

2025-05-15T14:06:59.948440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:06:59.982194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
600.0 25358
100.0%

Most occurring characters

ValueCountFrequency (%)
0 76074
60.0%
6 25358
 
20.0%
. 25358
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 76074
60.0%
6 25358
 
20.0%
. 25358
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 76074
60.0%
6 25358
 
20.0%
. 25358
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 126790
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 76074
60.0%
6 25358
 
20.0%
. 25358
 
20.0%

HourCounters Average GridOn Avg. [h]
Real number (ℝ)

High correlation  Missing 

Distinct141
Distinct (%)0.6%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean598.09673
Minimum0
Maximum971
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:00.035041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum971
Range971
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.60418
Coefficient of variation (CV)0.04113746
Kurtosis349.50255
Mean598.09673
Median Absolute Deviation (MAD)0
Skewness-17.227289
Sum15166537
Variance605.36569
MonotonicityNot monotonic
2025-05-15T14:07:00.114662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25081
95.7%
488 15
 
0.1%
487 14
 
0.1%
486 14
 
0.1%
489 13
 
< 0.1%
0 10
 
< 0.1%
485 7
 
< 0.1%
490 7
 
< 0.1%
484 6
 
< 0.1%
483 5
 
< 0.1%
Other values (131) 186
 
0.7%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
< 0.1%
25 1
 
< 0.1%
31 1
 
< 0.1%
51 1
 
< 0.1%
57 1
 
< 0.1%
64 1
 
< 0.1%
67 1
 
< 0.1%
80 3
 
< 0.1%
82 1
 
< 0.1%
87 1
 
< 0.1%
ValueCountFrequency (%)
971 1
 
< 0.1%
606 2
 
< 0.1%
605 3
 
< 0.1%
604 2
 
< 0.1%
600 25081
95.7%
593 2
 
< 0.1%
592 2
 
< 0.1%
591 1
 
< 0.1%
588 1
 
< 0.1%
587 1
 
< 0.1%

HourCounters Average GridOk Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct140
Distinct (%)0.6%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean550.62745
Minimum0
Maximum971
Zeros2013
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:00.194279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1600
median600
Q3600
95-th percentile600
Maximum971
Range971
Interquartile range (IQR)0

Descriptive statistics

Standard deviation163.30143
Coefficient of variation (CV)0.29657335
Kurtosis7.3609289
Mean550.62745
Median Absolute Deviation (MAD)0
Skewness-3.0507145
Sum13962811
Variance26667.357
MonotonicityNot monotonic
2025-05-15T14:07:00.271533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 23096
88.1%
0 2013
 
7.7%
488 15
 
0.1%
489 12
 
< 0.1%
487 12
 
< 0.1%
486 11
 
< 0.1%
485 8
 
< 0.1%
490 7
 
< 0.1%
484 6
 
< 0.1%
536 4
 
< 0.1%
Other values (130) 174
 
0.7%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 2013
7.7%
6 2
 
< 0.1%
13 1
 
< 0.1%
17 1
 
< 0.1%
22 1
 
< 0.1%
24 1
 
< 0.1%
28 1
 
< 0.1%
43 1
 
< 0.1%
61 1
 
< 0.1%
72 1
 
< 0.1%
ValueCountFrequency (%)
971 1
 
< 0.1%
600 23096
88.1%
599 1
 
< 0.1%
596 1
 
< 0.1%
595 1
 
< 0.1%
593 1
 
< 0.1%
592 2
 
< 0.1%
589 2
 
< 0.1%
587 2
 
< 0.1%
586 1
 
< 0.1%

HourCounters Average TurbineOk Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct145
Distinct (%)0.6%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean546.55107
Minimum0
Maximum971
Zeros2181
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:00.349721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1600
median600
Q3600
95-th percentile600
Maximum971
Range971
Interquartile range (IQR)0

Descriptive statistics

Standard deviation169.35488
Coefficient of variation (CV)0.30986103
Kurtosis6.4239405
Mean546.55107
Median Absolute Deviation (MAD)0
Skewness-2.8941155
Sum13859442
Variance28681.075
MonotonicityNot monotonic
2025-05-15T14:07:00.570537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 22921
87.5%
0 2181
 
8.3%
489 12
 
< 0.1%
488 12
 
< 0.1%
487 12
 
< 0.1%
486 11
 
< 0.1%
485 8
 
< 0.1%
490 6
 
< 0.1%
527 6
 
< 0.1%
484 6
 
< 0.1%
Other values (135) 183
 
0.7%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 2181
8.3%
6 2
 
< 0.1%
13 2
 
< 0.1%
17 1
 
< 0.1%
22 1
 
< 0.1%
24 1
 
< 0.1%
28 1
 
< 0.1%
44 1
 
< 0.1%
61 1
 
< 0.1%
77 1
 
< 0.1%
ValueCountFrequency (%)
971 1
 
< 0.1%
600 22921
87.5%
599 1
 
< 0.1%
596 2
 
< 0.1%
595 1
 
< 0.1%
593 2
 
< 0.1%
592 2
 
< 0.1%
589 2
 
< 0.1%
587 1
 
< 0.1%
586 1
 
< 0.1%

HourCounters Average Run Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct216
Distinct (%)0.9%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean500.68704
Minimum0
Maximum971
Zeros4061
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:00.647830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1600
median600
Q3600
95-th percentile600
Maximum971
Range971
Interquartile range (IQR)0

Descriptive statistics

Standard deviation221.46697
Coefficient of variation (CV)0.44232614
Kurtosis1.2583061
Mean500.68704
Median Absolute Deviation (MAD)0
Skewness-1.7985691
Sum12696422
Variance49047.617
MonotonicityNot monotonic
2025-05-15T14:07:00.726716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 21026
80.2%
0 4061
 
15.5%
284 6
 
< 0.1%
283 6
 
< 0.1%
285 5
 
< 0.1%
286 4
 
< 0.1%
281 4
 
< 0.1%
464 3
 
< 0.1%
250 3
 
< 0.1%
64 3
 
< 0.1%
Other values (206) 237
 
0.9%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 4061
15.5%
6 1
 
< 0.1%
10 1
 
< 0.1%
18 1
 
< 0.1%
19 1
 
< 0.1%
23 1
 
< 0.1%
25 1
 
< 0.1%
27 1
 
< 0.1%
29 1
 
< 0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
971 1
 
< 0.1%
600 21026
80.2%
599 1
 
< 0.1%
595 1
 
< 0.1%
592 1
 
< 0.1%
587 1
 
< 0.1%
586 1
 
< 0.1%
581 1
 
< 0.1%
574 1
 
< 0.1%
573 1
 
< 0.1%

HourCounters Average Gen1 Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct443
Distinct (%)1.7%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean178.39143
Minimum0
Maximum600
Zeros17406
Zeros (%)66.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:00.803095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation270.61806
Coefficient of variation (CV)1.5169902
Kurtosis-1.1868542
Mean178.39143
Median Absolute Deviation (MAD)0
Skewness0.88705708
Sum4523650
Variance73234.134
MonotonicityNot monotonic
2025-05-15T14:07:00.883114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17406
66.4%
600 7142
27.3%
250 9
 
< 0.1%
310 6
 
< 0.1%
304 5
 
< 0.1%
249 5
 
< 0.1%
278 5
 
< 0.1%
231 5
 
< 0.1%
461 5
 
< 0.1%
347 5
 
< 0.1%
Other values (433) 765
 
2.9%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 17406
66.4%
1 1
 
< 0.1%
2 2
 
< 0.1%
4 2
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
11 3
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
600 7142
27.3%
598 1
 
< 0.1%
597 4
 
< 0.1%
593 1
 
< 0.1%
590 2
 
< 0.1%
589 2
 
< 0.1%
586 1
 
< 0.1%
585 1
 
< 0.1%
584 3
 
< 0.1%
583 1
 
< 0.1%

HourCounters Average Gen2 Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct586
Distinct (%)2.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean226.44207
Minimum0
Maximum971
Zeros14724
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:00.965957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum971
Range971
Interquartile range (IQR)600

Descriptive statistics

Standard deviation280.9536
Coefficient of variation (CV)1.2407306
Kurtosis-1.6928833
Mean226.44207
Median Absolute Deviation (MAD)0
Skewness0.4990109
Sum5742118
Variance78934.926
MonotonicityNot monotonic
2025-05-15T14:07:01.048579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14724
56.2%
600 8101
30.9%
561 17
 
0.1%
557 16
 
0.1%
551 15
 
0.1%
548 15
 
0.1%
559 15
 
0.1%
547 15
 
0.1%
546 14
 
0.1%
519 14
 
0.1%
Other values (576) 2412
 
9.2%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 14724
56.2%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 5
 
< 0.1%
4 2
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
8 3
 
< 0.1%
9 4
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
971 1
 
< 0.1%
600 8101
30.9%
599 1
 
< 0.1%
597 5
 
< 0.1%
596 2
 
< 0.1%
595 3
 
< 0.1%
594 2
 
< 0.1%
593 2
 
< 0.1%
592 6
 
< 0.1%
591 8
 
< 0.1%

HourCounters Average Yaw Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct301
Distinct (%)1.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean26.03699
Minimum0
Maximum600
Zeros11508
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:01.127846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q339
95-th percentile99
Maximum600
Range600
Interquartile range (IQR)39

Descriptive statistics

Standard deviation39.931159
Coefficient of variation (CV)1.5336319
Kurtosis26.738673
Mean26.03699
Median Absolute Deviation (MAD)14
Skewness3.5813926
Sum660246
Variance1594.4974
MonotonicityNot monotonic
2025-05-15T14:07:01.207697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11508
43.9%
15 447
 
1.7%
16 401
 
1.5%
14 386
 
1.5%
17 373
 
1.4%
18 346
 
1.3%
13 344
 
1.3%
19 335
 
1.3%
20 321
 
1.2%
12 312
 
1.2%
Other values (291) 10585
40.4%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 11508
43.9%
1 12
 
< 0.1%
2 19
 
0.1%
3 16
 
0.1%
4 23
 
0.1%
5 24
 
0.1%
6 19
 
0.1%
7 18
 
0.1%
8 29
 
0.1%
9 40
 
0.2%
ValueCountFrequency (%)
600 7
< 0.1%
595 1
 
< 0.1%
564 1
 
< 0.1%
546 1
 
< 0.1%
543 1
 
< 0.1%
495 1
 
< 0.1%
451 1
 
< 0.1%
425 1
 
< 0.1%
408 1
 
< 0.1%
401 1
 
< 0.1%

HourCounters Average ServiceOn Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct130
Distinct (%)0.5%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean47.193115
Minimum0
Maximum605
Zeros23284
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:01.285759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile600
Maximum605
Range605
Interquartile range (IQR)0

Descriptive statistics

Standard deviation160.4968
Coefficient of variation (CV)3.400852
Kurtosis7.8359754
Mean47.193115
Median Absolute Deviation (MAD)0
Skewness3.130856
Sum1196723
Variance25759.223
MonotonicityNot monotonic
2025-05-15T14:07:01.364218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23284
88.8%
600 1918
 
7.3%
136 4
 
< 0.1%
483 3
 
< 0.1%
80 3
 
< 0.1%
605 3
 
< 0.1%
479 2
 
< 0.1%
158 2
 
< 0.1%
451 2
 
< 0.1%
520 2
 
< 0.1%
Other values (120) 135
 
0.5%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 23284
88.8%
3 1
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
11 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
17 1
 
< 0.1%
25 1
 
< 0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
605 3
 
< 0.1%
604 2
 
< 0.1%
600 1918
7.3%
594 2
 
< 0.1%
591 1
 
< 0.1%
586 1
 
< 0.1%
582 2
 
< 0.1%
578 1
 
< 0.1%
576 1
 
< 0.1%
574 1
 
< 0.1%

HourCounters Average AmbientOk Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct180
Distinct (%)0.7%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean544.79084
Minimum0
Maximum971
Zeros2232
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:01.444161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1600
median600
Q3600
95-th percentile600
Maximum971
Range971
Interquartile range (IQR)0

Descriptive statistics

Standard deviation171.56937
Coefficient of variation (CV)0.31492705
Kurtosis6.076852
Mean544.79084
Median Absolute Deviation (MAD)0
Skewness-2.832444
Sum13814806
Variance29436.049
MonotonicityNot monotonic
2025-05-15T14:07:01.522146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 22818
87.1%
0 2232
 
8.5%
488 15
 
0.1%
487 12
 
< 0.1%
489 12
 
< 0.1%
486 10
 
< 0.1%
485 9
 
< 0.1%
490 7
 
< 0.1%
484 5
 
< 0.1%
527 5
 
< 0.1%
Other values (170) 233
 
0.9%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 2232
8.5%
1 1
 
< 0.1%
2 1
 
< 0.1%
6 2
 
< 0.1%
10 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
17 1
 
< 0.1%
18 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
971 1
 
< 0.1%
600 22818
87.1%
599 1
 
< 0.1%
596 1
 
< 0.1%
595 2
 
< 0.1%
593 2
 
< 0.1%
592 2
 
< 0.1%
589 2
 
< 0.1%
587 1
 
< 0.1%
586 2
 
< 0.1%

HourCounters Average WindOk Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct599
Distinct (%)2.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean426.91825
Minimum0
Maximum971
Zeros5886
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:01.599631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q188.25
median600
Q3600
95-th percentile600
Maximum971
Range971
Interquartile range (IQR)511.75

Descriptive statistics

Standard deviation258.91749
Coefficient of variation (CV)0.60648025
Kurtosis-1.0300322
Mean426.91825
Median Absolute Deviation (MAD)0
Skewness-0.93513588
Sum10825793
Variance67038.265
MonotonicityNot monotonic
2025-05-15T14:07:01.680977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 16384
62.5%
0 5886
 
22.5%
576 14
 
0.1%
445 14
 
0.1%
533 13
 
< 0.1%
564 13
 
< 0.1%
544 12
 
< 0.1%
457 12
 
< 0.1%
186 11
 
< 0.1%
553 11
 
< 0.1%
Other values (589) 2988
 
11.4%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 5886
22.5%
1 5
 
< 0.1%
2 7
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
5 9
 
< 0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
9 3
 
< 0.1%
10 5
 
< 0.1%
ValueCountFrequency (%)
971 1
 
< 0.1%
606 1
 
< 0.1%
605 1
 
< 0.1%
604 2
 
< 0.1%
600 16384
62.5%
599 9
 
< 0.1%
598 5
 
< 0.1%
597 7
 
< 0.1%
596 10
 
< 0.1%
595 9
 
< 0.1%

HourCounters Average AlarmActive Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct219
Distinct (%)0.9%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean96.240516
Minimum0
Maximum606
Zeros21107
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:01.760158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile600
Maximum606
Range606
Interquartile range (IQR)0

Descriptive statistics

Standard deviation218.51354
Coefficient of variation (CV)2.2704943
Kurtosis1.4619156
Mean96.240516
Median Absolute Deviation (MAD)0
Skewness1.8544036
Sum2440467
Variance47748.167
MonotonicityNot monotonic
2025-05-15T14:07:01.835972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21107
80.5%
600 3937
 
15.0%
204 16
 
0.1%
205 15
 
0.1%
206 6
 
< 0.1%
80 4
 
< 0.1%
207 4
 
< 0.1%
26 3
 
< 0.1%
289 3
 
< 0.1%
211 3
 
< 0.1%
Other values (209) 260
 
1.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 21107
80.5%
1 1
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
11 2
 
< 0.1%
13 1
 
< 0.1%
14 2
 
< 0.1%
17 1
 
< 0.1%
19 1
 
< 0.1%
ValueCountFrequency (%)
606 1
 
< 0.1%
605 3
 
< 0.1%
604 2
 
< 0.1%
600 3937
15.0%
594 1
 
< 0.1%
593 1
 
< 0.1%
590 1
 
< 0.1%
588 1
 
< 0.1%
587 1
 
< 0.1%
582 3
 
< 0.1%

Total hour counter [h]
Real number (ℝ)

High correlation  Missing 

Distinct4238
Distinct (%)16.7%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.4380626 × 108
Minimum0
Maximum1.516752 × 108
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:01.913588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.367064 × 108
Q11.397556 × 108
median1.439856 × 108
Q31.477908 × 108
95-th percentile1.509156 × 108
Maximum1.516752 × 108
Range1.516752 × 108
Interquartile range (IQR)8035200

Descriptive statistics

Standard deviation5384311.4
Coefficient of variation (CV)0.037441425
Kurtosis198.64527
Mean1.4380626 × 108
Median Absolute Deviation (MAD)4017600
Skewness-7.5135488
Sum3.6466392 × 1012
Variance2.8990809 × 1013
MonotonicityNot monotonic
2025-05-15T14:07:02.143465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142135200 8
 
< 0.1%
0 8
 
< 0.1%
141289200 7
 
< 0.1%
146541600 6
 
< 0.1%
146538000 6
 
< 0.1%
146534400 6
 
< 0.1%
146530800 6
 
< 0.1%
146527200 6
 
< 0.1%
146602800 6
 
< 0.1%
146577600 6
 
< 0.1%
Other values (4228) 25293
96.5%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 8
< 0.1%
3600 2
 
< 0.1%
135950400 1
 
< 0.1%
135954000 6
< 0.1%
135957600 6
< 0.1%
135961200 6
< 0.1%
135964800 6
< 0.1%
135968400 6
< 0.1%
135972000 6
< 0.1%
135975600 6
< 0.1%
ValueCountFrequency (%)
151675200 5
< 0.1%
151671600 6
< 0.1%
151668000 6
< 0.1%
151664400 6
< 0.1%
151660800 6
< 0.1%
151657200 6
< 0.1%
151653600 6
< 0.1%
151650000 6
< 0.1%
151646400 6
< 0.1%
151642800 6
< 0.1%

Grid on hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct25351
Distinct (%)> 99.9%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.2192232 × 108
Minimum396
Maximum1.2961149 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:02.225175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum396
5-th percentile1.1501517 × 108
Q11.1804404 × 108
median1.2200308 × 108
Q31.2580987 × 108
95-th percentile1.288509 × 108
Maximum1.2961149 × 108
Range1.2961109 × 108
Interquartile range (IQR)7765830

Descriptive statistics

Standard deviation5056318.5
Coefficient of variation (CV)0.041471639
Kurtosis131.41624
Mean1.2192232 × 108
Median Absolute Deviation (MAD)3883180
Skewness-5.519691
Sum3.0917063 × 1012
Variance2.5566357 × 1013
MonotonicityNot monotonic
2025-05-15T14:07:02.306669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120252128 3
 
< 0.1%
120089232 3
 
< 0.1%
119603776 2
 
< 0.1%
119201088 2
 
< 0.1%
119204048 2
 
< 0.1%
124547840 1
 
< 0.1%
124547240 1
 
< 0.1%
124546640 1
 
< 0.1%
124546040 1
 
< 0.1%
124545440 1
 
< 0.1%
Other values (25341) 25341
96.7%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
396 1
< 0.1%
456 1
< 0.1%
493 1
< 0.1%
988 1
< 0.1%
996 1
< 0.1%
1588 1
< 0.1%
1596 1
< 0.1%
2112 1
< 0.1%
2284 1
< 0.1%
2734 1
< 0.1%
ValueCountFrequency (%)
129611488 1
< 0.1%
129610888 1
< 0.1%
129610288 1
< 0.1%
129609688 1
< 0.1%
129609088 1
< 0.1%
129608488 1
< 0.1%
129607888 1
< 0.1%
129607296 1
< 0.1%
129606688 1
< 0.1%
129606096 1
< 0.1%

Grid ok hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct23348
Distinct (%)92.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.2007071 × 108
Minimum99
Maximum1.2687091 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:02.387319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile1.1348532 × 108
Q11.1642146 × 108
median1.2018148 × 108
Q31.2397988 × 108
95-th percentile1.2612917 × 108
Maximum1.2687091 × 108
Range1.2687081 × 108
Interquartile range (IQR)7558414

Descriptive statistics

Standard deviation4814515.7
Coefficient of variation (CV)0.040097336
Kurtosis150.58198
Mean1.2007071 × 108
Median Absolute Deviation (MAD)3779412
Skewness-6.1470953
Sum3.0447531 × 1012
Variance2.3179561 × 1013
MonotonicityNot monotonic
2025-05-15T14:07:02.471890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125032592 611
 
2.3%
126095616 489
 
1.9%
125617424 327
 
1.2%
117804720 134
 
0.5%
117807216 116
 
0.4%
114156944 49
 
0.2%
114385376 40
 
0.2%
124878248 33
 
0.1%
126147312 32
 
0.1%
125943672 28
 
0.1%
Other values (23338) 23499
89.7%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
99 3
< 0.1%
456 1
 
< 0.1%
493 1
 
< 0.1%
866 2
< 0.1%
1028 1
 
< 0.1%
1200 1
 
< 0.1%
1448 1
 
< 0.1%
112730608 1
 
< 0.1%
112731208 1
 
< 0.1%
112731808 1
 
< 0.1%
ValueCountFrequency (%)
126870912 1
< 0.1%
126870312 1
< 0.1%
126869712 1
< 0.1%
126869112 1
< 0.1%
126868512 1
< 0.1%
126867912 1
< 0.1%
126867312 1
< 0.1%
126866712 1
< 0.1%
126866112 1
< 0.1%
126865512 1
< 0.1%

Turbine ok hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct23179
Distinct (%)91.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.1943025 × 108
Minimum99
Maximum1.2618947 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:02.553174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile1.1294561 × 108
Q11.1584648 × 108
median1.1950459 × 108
Q31.2330171 × 108
95-th percentile1.2544773 × 108
Maximum1.2618947 × 108
Range1.2618937 × 108
Interquartile range (IQR)7455228

Descriptive statistics

Standard deviation4765814.2
Coefficient of variation (CV)0.039904582
Kurtosis153.545
Mean1.1943025 × 108
Median Absolute Deviation (MAD)3727932
Skewness-6.2255683
Sum3.0285123 × 1012
Variance2.2712985 × 1013
MonotonicityNot monotonic
2025-05-15T14:07:02.638354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124351152 611
 
2.3%
125414176 489
 
1.9%
124935984 327
 
1.2%
117130912 134
 
0.5%
117133408 116
 
0.4%
116904096 81
 
0.3%
115662320 76
 
0.3%
113617240 49
 
0.2%
113845672 40
 
0.2%
124196808 33
 
0.1%
Other values (23169) 23402
89.3%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
99 3
< 0.1%
456 1
 
< 0.1%
493 1
 
< 0.1%
710 5
< 0.1%
112190904 1
 
< 0.1%
112191504 1
 
< 0.1%
112192104 1
 
< 0.1%
112192704 1
 
< 0.1%
112193304 1
 
< 0.1%
112193904 1
 
< 0.1%
ValueCountFrequency (%)
126189472 1
< 0.1%
126188872 1
< 0.1%
126188272 1
< 0.1%
126187672 1
< 0.1%
126187072 1
< 0.1%
126186472 1
< 0.1%
126185872 1
< 0.1%
126185272 1
< 0.1%
126184672 1
< 0.1%
126184072 1
< 0.1%

Run hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct21302
Distinct (%)84.0%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.0915529 × 108
Minimum0
Maximum1.1507651 × 108
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:02.720921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.0299739 × 108
Q11.0580901 × 108
median1.0925012 × 108
Q31.1303753 × 108
95-th percentile1.1435294 × 108
Maximum1.1507651 × 108
Range1.1507651 × 108
Interquartile range (IQR)7228524

Descriptive statistics

Standard deviation4418853.8
Coefficient of variation (CV)0.040482268
Kurtosis144.85074
Mean1.0915529 × 108
Median Absolute Deviation (MAD)3607848
Skewness-6.0094746
Sum2.7679599 × 1012
Variance1.9526269 × 1013
MonotonicityNot monotonic
2025-05-15T14:07:02.805049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113874784 2296
 
8.8%
114352944 607
 
2.3%
106989392 144
 
0.5%
106989696 127
 
0.5%
106846520 113
 
0.4%
108637888 112
 
0.4%
105239720 91
 
0.3%
106843008 81
 
0.3%
105625056 76
 
0.3%
103668272 49
 
0.2%
Other values (21292) 21662
82.7%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
< 0.1%
102242680 1
 
< 0.1%
102243280 1
 
< 0.1%
102243880 1
 
< 0.1%
102244480 1
 
< 0.1%
102245088 1
 
< 0.1%
102245680 1
 
< 0.1%
102246280 1
 
< 0.1%
102246880 1
 
< 0.1%
102247480 1
 
< 0.1%
ValueCountFrequency (%)
115076512 1
< 0.1%
115075912 1
< 0.1%
115075312 1
< 0.1%
115074712 1
< 0.1%
115074112 1
< 0.1%
115073512 1
< 0.1%
115072912 1
< 0.1%
115072312 1
< 0.1%
115071712 1
< 0.1%
115071112 1
< 0.1%

Generator 1 hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct7957
Distinct (%)31.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean39944456
Minimum0
Maximum42029584
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:02.882963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37780840
Q138610074
median40031712
Q341332900
95-th percentile41869828
Maximum42029584
Range42029584
Interquartile range (IQR)2722826

Descriptive statistics

Standard deviation1607537.5
Coefficient of variation (CV)0.04024432
Kurtosis148.33627
Mean39944456
Median Absolute Deviation (MAD)1321156
Skewness-6.1644286
Sum1.0129115 × 1012
Variance2.5841767 × 1012
MonotonicityNot monotonic
2025-05-15T14:07:02.961787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41532216 2314
 
8.8%
40412272 716
 
2.7%
41869828 666
 
2.5%
40771512 534
 
2.0%
39733968 490
 
1.9%
41921664 478
 
1.8%
37901344 456
 
1.7%
41158976 397
 
1.5%
38401384 375
 
1.4%
40538064 367
 
1.4%
Other values (7947) 18565
70.8%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
37453256 113
0.4%
37453812 1
 
< 0.1%
37454412 1
 
< 0.1%
37455012 1
 
< 0.1%
37455612 1
 
< 0.1%
37456212 1
 
< 0.1%
37456816 1
 
< 0.1%
37457412 1
 
< 0.1%
37458012 1
 
< 0.1%
ValueCountFrequency (%)
42029584 92
0.4%
42029248 1
 
< 0.1%
42028648 1
 
< 0.1%
42028052 1
 
< 0.1%
42027448 1
 
< 0.1%
42026848 1
 
< 0.1%
42026248 1
 
< 0.1%
42025648 1
 
< 0.1%
42025048 1
 
< 0.1%
42024448 1
 
< 0.1%

Generator 2 hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct10635
Distinct (%)41.9%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean45047870
Minimum0
Maximum47704440
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:03.038638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42293449
Q143587554
median45105400
Q346721940
95-th percentile47299688
Maximum47704440
Range47704440
Interquartile range (IQR)3134386

Descriptive statistics

Standard deviation1938636.7
Coefficient of variation (CV)0.043035036
Kurtosis113.0489
Mean45047870
Median Absolute Deviation (MAD)1576840
Skewness-5.0215251
Sum1.1423239 × 1012
Variance3.7583122 × 1012
MonotonicityNot monotonic
2025-05-15T14:07:03.119945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47180892 2321
 
8.9%
47299688 640
 
2.4%
44017036 299
 
1.1%
44075056 298
 
1.1%
42994984 283
 
1.1%
44757036 266
 
1.0%
43304936 231
 
0.9%
45223160 199
 
0.8%
45095052 188
 
0.7%
45835208 187
 
0.7%
Other values (10625) 20446
78.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
< 0.1%
41893420 1
 
< 0.1%
41894020 1
 
< 0.1%
41894620 1
 
< 0.1%
41895220 1
 
< 0.1%
41895824 1
 
< 0.1%
41896420 1
 
< 0.1%
41897020 1
 
< 0.1%
41897620 1
 
< 0.1%
41898220 1
 
< 0.1%
ValueCountFrequency (%)
47704440 1
< 0.1%
47703840 1
< 0.1%
47703240 1
< 0.1%
47702640 1
< 0.1%
47702040 1
< 0.1%
47701440 1
< 0.1%
47700840 1
< 0.1%
47700240 1
< 0.1%
47699640 1
< 0.1%
47699040 1
< 0.1%

Yaw hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct13861
Distinct (%)54.7%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean5628519.8
Minimum0
Maximum5955363
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:03.197533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5336713
Q15461536.8
median5633883
Q35786822
95-th percentile5927484.5
Maximum5955363
Range5955363
Interquartile range (IQR)325285.25

Descriptive statistics

Standard deviation223522.1
Coefficient of variation (CV)0.039712412
Kurtosis156.61833
Mean5628519.8
Median Absolute Deviation (MAD)163684.5
Skewness-6.2671188
Sum1.4272801 × 1011
Variance4.9962129 × 1010
MonotonicityNot monotonic
2025-05-15T14:07:03.276999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5860729 589
 
2.2%
5923786 269
 
1.0%
5901946 149
 
0.6%
5924100 147
 
0.6%
5901331 127
 
0.5%
5523154 118
 
0.5%
5523610 116
 
0.4%
5508479 82
 
0.3%
5453591 78
 
0.3%
5434527 78
 
0.3%
Other values (13851) 23605
90.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
< 0.1%
5290959 9
< 0.1%
5290982 2
 
< 0.1%
5291003 4
 
< 0.1%
5291022 1
 
< 0.1%
5291044 4
 
< 0.1%
5291067 5
< 0.1%
5291085 1
 
< 0.1%
5291109 6
< 0.1%
5291146 5
< 0.1%
ValueCountFrequency (%)
5955363 6
< 0.1%
5955349 2
 
< 0.1%
5955334 3
 
< 0.1%
5955319 3
 
< 0.1%
5955289 2
 
< 0.1%
5955276 3
 
< 0.1%
5955261 4
< 0.1%
5955246 2
 
< 0.1%
5955228 5
< 0.1%
5955208 8
< 0.1%

Service hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct2080
Distinct (%)8.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1632152.7
Minimum0
Maximum2517382
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:03.357298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1320181
Q11409679
median1598398
Q31606791
95-th percentile2498529
Maximum2517382
Range2517382
Interquartile range (IQR)197112

Descriptive statistics

Standard deviation307664.62
Coefficient of variation (CV)0.18850235
Kurtosis2.2026708
Mean1632152.7
Median Absolute Deviation (MAD)176910.5
Skewness1.537574
Sum4.1388129 × 1010
Variance9.4657518 × 1010
MonotonicityNot monotonic
2025-05-15T14:07:03.439598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1606791 6809
26.0%
1598398 3831
14.6%
1380822 2066
 
7.9%
1320181 1992
 
7.6%
2517382 1206
 
4.6%
1993991 975
 
3.7%
1409679 887
 
3.4%
1418400 847
 
3.2%
1384947 686
 
2.6%
2189177 544
 
2.1%
Other values (2070) 5515
21.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 2
 
< 0.1%
122 1
 
< 0.1%
297 1
 
< 0.1%
722 1
 
< 0.1%
897 1
 
< 0.1%
1084 2
 
< 0.1%
1286 1
 
< 0.1%
1497 1
 
< 0.1%
1320181 1992
7.6%
1320182 386
 
1.5%
ValueCountFrequency (%)
2517382 1206
4.6%
2517378 1
 
< 0.1%
2516778 1
 
< 0.1%
2516178 1
 
< 0.1%
2515578 1
 
< 0.1%
2514979 1
 
< 0.1%
2514378 1
 
< 0.1%
2513778 1
 
< 0.1%
2513178 1
 
< 0.1%
2512577 1
 
< 0.1%

Ambient ok hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct23127
Distinct (%)91.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.1894715 × 108
Minimum99
Maximum1.2566642 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:03.519391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile1.1242886 × 108
Q11.1535748 × 108
median1.1901744 × 108
Q31.2280728 × 108
95-th percentile1.2492467 × 108
Maximum1.2566642 × 108
Range1.2566632 × 108
Interquartile range (IQR)7449800

Descriptive statistics

Standard deviation4755625.4
Coefficient of variation (CV)0.039980995
Kurtosis152.36695
Mean1.1894715 × 108
Median Absolute Deviation (MAD)3725160
Skewness-6.2019157
Sum3.0162619 × 1012
Variance2.2615973 × 1013
MonotonicityNot monotonic
2025-05-15T14:07:03.756620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123858368 611
 
2.3%
124891128 489
 
1.9%
124412928 327
 
1.2%
116742720 134
 
0.5%
116745216 116
 
0.4%
118405200 100
 
0.4%
113100488 49
 
0.2%
113328920 40
 
0.2%
123704024 33
 
0.1%
124942824 32
 
0.1%
Other values (23117) 23427
89.4%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
99 3
< 0.1%
456 1
 
< 0.1%
493 1
 
< 0.1%
866 2
< 0.1%
1028 1
 
< 0.1%
1200 1
 
< 0.1%
1448 1
 
< 0.1%
111674152 1
 
< 0.1%
111674752 1
 
< 0.1%
111675352 1
 
< 0.1%
ValueCountFrequency (%)
125666416 1
< 0.1%
125665816 1
< 0.1%
125665216 1
< 0.1%
125664616 1
< 0.1%
125664016 1
< 0.1%
125663416 1
< 0.1%
125662816 1
< 0.1%
125662216 1
< 0.1%
125661616 1
< 0.1%
125661016 1
< 0.1%

Wind ok hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct19466
Distinct (%)76.8%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean84240569
Minimum21
Maximum89678672
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:03.838776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile79362086
Q181365446
median84403668
Q386888112
95-th percentile89162466
Maximum89678672
Range89678651
Interquartile range (IQR)5522666

Descriptive statistics

Standard deviation3568435.7
Coefficient of variation (CV)0.042360062
Kurtosis120.60546
Mean84240569
Median Absolute Deviation (MAD)2748972
Skewness-5.2233239
Sum2.1361723 × 1012
Variance1.2733733 × 1013
MonotonicityNot monotonic
2025-05-15T14:07:03.917026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79602184 153
 
0.6%
89313832 115
 
0.4%
86606296 109
 
0.4%
83946688 100
 
0.4%
83709592 99
 
0.4%
81086624 98
 
0.4%
79451792 93
 
0.4%
85015472 89
 
0.3%
86609968 87
 
0.3%
87263888 86
 
0.3%
Other values (19456) 24329
92.8%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
21 1
< 0.1%
85 1
< 0.1%
212 1
< 0.1%
231 1
< 0.1%
480 1
< 0.1%
604 1
< 0.1%
811 1
< 0.1%
983 1
< 0.1%
1204 1
< 0.1%
1433 1
< 0.1%
ValueCountFrequency (%)
89678672 1
< 0.1%
89678064 1
< 0.1%
89677464 1
< 0.1%
89676864 1
< 0.1%
89676272 1
< 0.1%
89675664 1
< 0.1%
89675072 1
< 0.1%
89674464 1
< 0.1%
89673872 1
< 0.1%
89673264 1
< 0.1%

Production LatestAverage Active Power Gen 0 Avg. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2294
Distinct (%)9.0%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-572.62655
Minimum-6176
Maximum0
Zeros16049
Zeros (%)61.2%
Negative9309
Negative (%)35.5%
Memory size1.4 MiB
2025-05-15T14:07:03.992904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-6176
5-th percentile-2217
Q1-1010
median0
Q30
95-th percentile0
Maximum0
Range6176
Interquartile range (IQR)1010

Descriptive statistics

Standard deviation951.24911
Coefficient of variation (CV)-1.6612033
Kurtosis2.4742453
Mean-572.62655
Median Absolute Deviation (MAD)0
Skewness-1.6351034
Sum-14520664
Variance904874.86
MonotonicityNot monotonic
2025-05-15T14:07:04.073888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16049
61.2%
-167 115
 
0.4%
-166 95
 
0.4%
-1 76
 
0.3%
-164 36
 
0.1%
-165 35
 
0.1%
-350 27
 
0.1%
-158 24
 
0.1%
-183 24
 
0.1%
-160 24
 
0.1%
Other values (2284) 8853
33.8%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-6176 1
< 0.1%
-6095 1
< 0.1%
-6011 1
< 0.1%
-5874 1
< 0.1%
-5809 1
< 0.1%
-5476 1
< 0.1%
-5380 1
< 0.1%
-5352 1
< 0.1%
-5337 1
< 0.1%
-5328 1
< 0.1%
ValueCountFrequency (%)
0 16049
61.2%
-1 76
 
0.3%
-4 1
 
< 0.1%
-5 1
 
< 0.1%
-6 1
 
< 0.1%
-7 3
 
< 0.1%
-11 1
 
< 0.1%
-14 3
 
< 0.1%
-16 1
 
< 0.1%
-17 1
 
< 0.1%

Production LatestAverage Active Power Gen 1 Avg. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct7634
Distinct (%)30.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean82960.42
Minimum-95
Maximum500149
Zeros17353
Zeros (%)66.2%
Negative3
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-15T14:07:04.157150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-95
5-th percentile0
Q10
median0
Q3130417.25
95-th percentile445400
Maximum500149
Range500244
Interquartile range (IQR)130417.25

Descriptive statistics

Standard deviation145769.95
Coefficient of variation (CV)1.7571024
Kurtosis1.2823964
Mean82960.42
Median Absolute Deviation (MAD)0
Skewness1.6180794
Sum2.1037103 × 109
Variance2.1248879 × 1010
MonotonicityNot monotonic
2025-05-15T14:07:04.238788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17353
66.2%
445400 206
 
0.8%
1 36
 
0.1%
500050 5
 
< 0.1%
500066 4
 
< 0.1%
500035 4
 
< 0.1%
500041 3
 
< 0.1%
500042 3
 
< 0.1%
500068 3
 
< 0.1%
500037 3
 
< 0.1%
Other values (7624) 7738
29.5%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-95 1
 
< 0.1%
-71 1
 
< 0.1%
-30 1
 
< 0.1%
0 17353
66.2%
1 36
 
0.1%
42 1
 
< 0.1%
250 1
 
< 0.1%
440 1
 
< 0.1%
509 1
 
< 0.1%
520 1
 
< 0.1%
ValueCountFrequency (%)
500149 1
< 0.1%
500105 1
< 0.1%
500100 1
< 0.1%
500091 2
< 0.1%
500089 2
< 0.1%
500088 1
< 0.1%
500087 1
< 0.1%
500081 1
< 0.1%
500078 1
< 0.1%
500077 1
< 0.1%

Production LatestAverage Active Power Gen 2 Avg. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct9471
Distinct (%)37.3%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean25684.388
Minimum-1229
Maximum445401
Zeros14575
Zeros (%)55.6%
Negative159
Negative (%)0.6%
Memory size1.4 MiB
2025-05-15T14:07:04.314821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1229
5-th percentile0
Q10
median0
Q324524
95-th percentile87962.9
Maximum445401
Range446630
Interquartile range (IQR)24524

Descriptive statistics

Standard deviation72249.727
Coefficient of variation (CV)2.8129822
Kurtosis25.818419
Mean25684.388
Median Absolute Deviation (MAD)0
Skewness4.9804298
Sum6.5130472 × 108
Variance5.220023 × 109
MonotonicityNot monotonic
2025-05-15T14:07:04.394343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14575
55.6%
445400 635
 
2.4%
1 56
 
0.2%
-1 7
 
< 0.1%
346 4
 
< 0.1%
1406 4
 
< 0.1%
4405 4
 
< 0.1%
61272 3
 
< 0.1%
23848 3
 
< 0.1%
337 3
 
< 0.1%
Other values (9461) 10064
38.4%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-1229 1
< 0.1%
-1218 1
< 0.1%
-1168 1
< 0.1%
-1159 1
< 0.1%
-1120 2
< 0.1%
-1116 1
< 0.1%
-1086 1
< 0.1%
-1083 1
< 0.1%
-1071 1
< 0.1%
-1068 1
< 0.1%
ValueCountFrequency (%)
445401 2
 
< 0.1%
445400 635
2.4%
437977 1
 
< 0.1%
393437 1
 
< 0.1%
341474 1
 
< 0.1%
334051 1
 
< 0.1%
326627 1
 
< 0.1%
326626 1
 
< 0.1%
311780 1
 
< 0.1%
252393 2
 
< 0.1%

Production LatestAverage Total Active Power Avg. [W]
Real number (ℝ)

High correlation  Missing 

Distinct17873
Distinct (%)70.5%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean108072.18
Minimum-6176
Maximum500149
Zeros44
Zeros (%)0.2%
Negative7731
Negative (%)29.5%
Memory size1.4 MiB
2025-05-15T14:07:04.474091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-6176
5-th percentile-2220
Q1-545
median35115
Q3158093.25
95-th percentile445400
Maximum500149
Range506325
Interquartile range (IQR)158638.25

Descriptive statistics

Standard deviation149868.82
Coefficient of variation (CV)1.3867475
Kurtosis0.58848581
Mean108072.18
Median Absolute Deviation (MAD)37170.5
Skewness1.3875357
Sum2.7404944 × 109
Variance2.2460664 × 1010
MonotonicityNot monotonic
2025-05-15T14:07:04.553257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445400 851
 
3.2%
-167 114
 
0.4%
-166 90
 
0.3%
0 44
 
0.2%
-164 34
 
0.1%
-165 33
 
0.1%
-350 26
 
0.1%
-163 22
 
0.1%
-160 22
 
0.1%
-157 22
 
0.1%
Other values (17863) 24100
92.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-6176 1
< 0.1%
-6095 1
< 0.1%
-6011 1
< 0.1%
-5874 1
< 0.1%
-5809 1
< 0.1%
-5476 1
< 0.1%
-5380 1
< 0.1%
-5352 1
< 0.1%
-5337 1
< 0.1%
-5328 1
< 0.1%
ValueCountFrequency (%)
500149 1
< 0.1%
500105 1
< 0.1%
500100 1
< 0.1%
500091 2
< 0.1%
500089 2
< 0.1%
500088 1
< 0.1%
500087 1
< 0.1%
500081 1
< 0.1%
500078 1
< 0.1%
500077 1
< 0.1%

Production LatestAverage Reactive Power Gen 0 Avg. [var]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2504
Distinct (%)9.9%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-391.35515
Minimum-3183
Maximum2168
Zeros16172
Zeros (%)61.7%
Negative7053
Negative (%)26.9%
Memory size1.4 MiB
2025-05-15T14:07:04.630509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3183
5-th percentile-2081.15
Q1-34
median0
Q30
95-th percentile270
Maximum2168
Range5351
Interquartile range (IQR)34

Descriptive statistics

Standard deviation797.92589
Coefficient of variation (CV)-2.0388792
Kurtosis0.23849426
Mean-391.35515
Median Absolute Deviation (MAD)0
Skewness-1.338319
Sum-9923984
Variance636685.72
MonotonicityNot monotonic
2025-05-15T14:07:04.711665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16172
61.7%
-17 203
 
0.8%
-33 114
 
0.4%
-34 87
 
0.3%
-16 70
 
0.3%
300 51
 
0.2%
267 50
 
0.2%
283 48
 
0.2%
1 46
 
0.2%
-1 41
 
0.2%
Other values (2494) 8476
32.3%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-3183 1
< 0.1%
-3173 1
< 0.1%
-3062 1
< 0.1%
-3010 2
< 0.1%
-3006 1
< 0.1%
-2978 1
< 0.1%
-2975 1
< 0.1%
-2971 1
< 0.1%
-2961 1
< 0.1%
-2960 1
< 0.1%
ValueCountFrequency (%)
2168 1
< 0.1%
2015 1
< 0.1%
1999 1
< 0.1%
1532 1
< 0.1%
1510 1
< 0.1%
1485 1
< 0.1%
1385 1
< 0.1%
1381 1
< 0.1%
1377 1
< 0.1%
1355 1
< 0.1%

Production LatestAverage Reactive Power Gen 1 Avg. [var]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct205
Distinct (%)0.8%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.9068144
Minimum-51
Maximum386
Zeros20587
Zeros (%)78.6%
Negative546
Negative (%)2.1%
Memory size1.4 MiB
2025-05-15T14:07:04.787971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-51
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum386
Range437
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.60742
Coefficient of variation (CV)8.7095104
Kurtosis89.660552
Mean1.9068144
Median Absolute Deviation (MAD)0
Skewness7.9012356
Sum48353
Variance275.8064
MonotonicityNot monotonic
2025-05-15T14:07:04.862498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20587
78.6%
1 2029
 
7.7%
2 836
 
3.2%
3 558
 
2.1%
-1 228
 
0.9%
-50 207
 
0.8%
4 151
 
0.6%
5 77
 
0.3%
-2 41
 
0.2%
-3 20
 
0.1%
Other values (195) 624
 
2.4%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-51 1
 
< 0.1%
-50 207
0.8%
-49 1
 
< 0.1%
-46 1
 
< 0.1%
-45 1
 
< 0.1%
-44 1
 
< 0.1%
-36 1
 
< 0.1%
-31 2
 
< 0.1%
-29 1
 
< 0.1%
-28 1
 
< 0.1%
ValueCountFrequency (%)
386 1
< 0.1%
340 1
< 0.1%
323 1
< 0.1%
303 1
< 0.1%
299 1
< 0.1%
294 1
< 0.1%
264 1
< 0.1%
252 1
< 0.1%
232 1
< 0.1%
226 1
< 0.1%

Production LatestAverage Reactive Power Gen 2 Avg. [var]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct613
Distinct (%)2.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean14.044325
Minimum-506
Maximum1014
Zeros22467
Zeros (%)85.7%
Negative914
Negative (%)3.5%
Memory size1.4 MiB
2025-05-15T14:07:04.937429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-506
5-th percentile0
Q10
median0
Q30
95-th percentile99
Maximum1014
Range1520
Interquartile range (IQR)0

Descriptive statistics

Standard deviation72.481564
Coefficient of variation (CV)5.1609146
Kurtosis37.650928
Mean14.044325
Median Absolute Deviation (MAD)0
Skewness5.5348609
Sum356136
Variance5253.5771
MonotonicityNot monotonic
2025-05-15T14:07:05.163275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22467
85.7%
-50 636
 
2.4%
-1 170
 
0.6%
1 147
 
0.6%
89 17
 
0.1%
91 17
 
0.1%
90 15
 
0.1%
96 15
 
0.1%
114 14
 
0.1%
87 14
 
0.1%
Other values (603) 1846
 
7.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-506 1
< 0.1%
-455 1
< 0.1%
-390 1
< 0.1%
-379 1
< 0.1%
-367 1
< 0.1%
-337 1
< 0.1%
-317 1
< 0.1%
-293 1
< 0.1%
-209 1
< 0.1%
-196 1
< 0.1%
ValueCountFrequency (%)
1014 1
< 0.1%
1005 1
< 0.1%
954 1
< 0.1%
951 1
< 0.1%
930 1
< 0.1%
867 1
< 0.1%
836 1
< 0.1%
828 1
< 0.1%
803 1
< 0.1%
798 1
< 0.1%

Production LatestAverage Total Reactive Power Avg. [var]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2628
Distinct (%)10.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-375.40401
Minimum-3183
Maximum2453
Zeros10573
Zeros (%)40.3%
Negative8177
Negative (%)31.2%
Memory size1.4 MiB
2025-05-15T14:07:05.238754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3183
5-th percentile-2081
Q1-50
median0
Q31
95-th percentile280
Maximum2453
Range5636
Interquartile range (IQR)51

Descriptive statistics

Standard deviation805.1395
Coefficient of variation (CV)-2.144728
Kurtosis0.31184648
Mean-375.40401
Median Absolute Deviation (MAD)1
Skewness-1.2974358
Sum-9519495
Variance648249.62
MonotonicityNot monotonic
2025-05-15T14:07:05.316444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10573
40.3%
1 2106
 
8.0%
-50 859
 
3.3%
2 841
 
3.2%
3 544
 
2.1%
-1 402
 
1.5%
-17 201
 
0.8%
4 149
 
0.6%
-33 112
 
0.4%
-34 87
 
0.3%
Other values (2618) 9484
36.2%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-3183 1
< 0.1%
-3174 1
< 0.1%
-3063 1
< 0.1%
-3010 2
< 0.1%
-3006 1
< 0.1%
-2978 1
< 0.1%
-2975 1
< 0.1%
-2971 1
< 0.1%
-2961 1
< 0.1%
-2960 1
< 0.1%
ValueCountFrequency (%)
2453 1
< 0.1%
2360 1
< 0.1%
2207 1
< 0.1%
2015 1
< 0.1%
1923 1
< 0.1%
1915 1
< 0.1%
1904 1
< 0.1%
1790 1
< 0.1%
1743 1
< 0.1%
1720 1
< 0.1%

Active power generator 0, Total accumulated [W]
Real number (ℝ)

High correlation  Missing 

Distinct7545
Distinct (%)29.8%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-131821.35
Minimum-140373
Maximum0
Zeros5
Zeros (%)< 0.1%
Negative25353
Negative (%)96.7%
Memory size1.4 MiB
2025-05-15T14:07:05.394288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-140373
5-th percentile-139694.3
Q1-134808.25
median-131734
Q3-128188
95-th percentile-125767
Maximum0
Range140373
Interquartile range (IQR)6620.25

Descriptive statistics

Standard deviation4945.8925
Coefficient of variation (CV)-0.037519663
Kurtosis197.19535
Mean-131821.35
Median Absolute Deviation (MAD)3318
Skewness7.1950426
Sum-3.3427257 × 109
Variance24461853
MonotonicityNot monotonic
2025-05-15T14:07:05.474531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-127485 899
 
3.4%
-131784 432
 
1.6%
-139051 387
 
1.5%
-133207 378
 
1.4%
-127483 352
 
1.3%
-128652 331
 
1.3%
-125707 287
 
1.1%
-140371 272
 
1.0%
-127209 269
 
1.0%
-132886 256
 
1.0%
Other values (7535) 21495
82.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-140373 80
 
0.3%
-140371 272
1.0%
-140370 2
 
< 0.1%
-140369 3
 
< 0.1%
-140367 1
 
< 0.1%
-140365 1
 
< 0.1%
-140362 1
 
< 0.1%
-140360 1
 
< 0.1%
-140358 1
 
< 0.1%
-140356 1
 
< 0.1%
ValueCountFrequency (%)
0 5
 
< 0.1%
-1 2
 
< 0.1%
-2 3
 
< 0.1%
-125672 29
0.1%
-125673 59
0.2%
-125674 4
 
< 0.1%
-125676 1
 
< 0.1%
-125679 1
 
< 0.1%
-125680 1
 
< 0.1%
-125681 1
 
< 0.1%

Active power generator 1, Total accumulated [W]
Real number (ℝ)

High correlation  Missing 

Distinct7953
Distinct (%)31.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean19441698
Minimum0
Maximum20375584
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:05.557013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18391388
Q118806764
median19490980
Q320129586
95-th percentile20334244
Maximum20375584
Range20375584
Interquartile range (IQR)1322821.5

Descriptive statistics

Standard deviation780814.83
Coefficient of variation (CV)0.040161864
Kurtosis149.54699
Mean19441698
Median Absolute Deviation (MAD)642924
Skewness-6.2230781
Sum4.9300258 × 1011
Variance6.096718 × 1011
MonotonicityNot monotonic
2025-05-15T14:07:05.640332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20214056 2314
 
8.8%
19713096 716
 
2.7%
20334244 666
 
2.5%
19879852 534
 
2.0%
19330488 490
 
1.9%
20345212 478
 
1.8%
18428904 456
 
1.7%
20030522 397
 
1.5%
18708994 375
 
1.4%
19777176 368
 
1.4%
Other values (7943) 18564
70.8%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
18245948 113
0.4%
18246128 1
 
< 0.1%
18246372 1
 
< 0.1%
18246600 1
 
< 0.1%
18246856 1
 
< 0.1%
18247092 1
 
< 0.1%
18247280 1
 
< 0.1%
18247504 1
 
< 0.1%
18247732 1
 
< 0.1%
ValueCountFrequency (%)
20375584 92
0.4%
20375534 1
 
< 0.1%
20375424 1
 
< 0.1%
20375308 1
 
< 0.1%
20375180 1
 
< 0.1%
20375052 1
 
< 0.1%
20374948 1
 
< 0.1%
20374812 1
 
< 0.1%
20374646 1
 
< 0.1%
20374472 1
 
< 0.1%

Active power generator 2, Total accumulated [W]
Real number (ℝ)

High correlation  Missing 

Distinct10398
Distinct (%)41.0%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean3228949.6
Minimum0
Maximum3451893
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:05.722117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2827099.2
Q13179566
median3288796
Q33385830
95-th percentile3425818
Maximum3451893
Range3451893
Interquartile range (IQR)206264

Descriptive statistics

Standard deviation210290.94
Coefficient of variation (CV)0.065126732
Kurtosis21.213678
Mean3228949.6
Median Absolute Deviation (MAD)104143
Skewness-2.3287314
Sum8.1879705 × 1010
Variance4.4222279 × 1010
MonotonicityNot monotonic
2025-05-15T14:07:05.803809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3414679 2321
 
8.9%
3425818 640
 
2.4%
3215167 408
 
1.6%
3218243 298
 
1.1%
2872671 283
 
1.1%
3262962 266
 
1.0%
3160444 234
 
0.9%
3295908 199
 
0.8%
3287851 188
 
0.7%
3332826 187
 
0.7%
Other values (10388) 20334
77.6%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
< 0.1%
2793918 1
 
< 0.1%
2793932 1
 
< 0.1%
2793956 1
 
< 0.1%
2793997 1
 
< 0.1%
2794034 1
 
< 0.1%
2794060 1
 
< 0.1%
2794087 1
 
< 0.1%
2794125 1
 
< 0.1%
2794168 1
 
< 0.1%
ValueCountFrequency (%)
3451893 1
< 0.1%
3451860 1
< 0.1%
3451822 1
< 0.1%
3451776 1
< 0.1%
3451723 1
< 0.1%
3451662 1
< 0.1%
3451591 1
< 0.1%
3451511 1
< 0.1%
3451428 1
< 0.1%
3451341 1
< 0.1%

Total Active power [W]
Real number (ℝ)

High correlation  Missing 

Distinct20733
Distinct (%)81.8%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean22538827
Minimum-2
Maximum23687104
Zeros5
Zeros (%)< 0.1%
Negative5
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-15T14:07:05.886395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile21092720
Q121858143
median22648041
Q323380650
95-th percentile23620872
Maximum23687104
Range23687106
Interquartile range (IQR)1522506.5

Descriptive statistics

Standard deviation973492.91
Coefficient of variation (CV)0.043191819
Kurtosis111.47913
Mean22538827
Median Absolute Deviation (MAD)744595
Skewness-5.1545854
Sum5.7153956 × 1011
Variance9.4768844 × 1011
MonotonicityNot monotonic
2025-05-15T14:07:05.964566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23620588 20
 
0.1%
23492352 20
 
0.1%
23620592 20
 
0.1%
23493048 19
 
0.1%
23492448 19
 
0.1%
23492432 19
 
0.1%
23492420 19
 
0.1%
23492396 18
 
0.1%
23492408 18
 
0.1%
23492412 18
 
0.1%
Other values (20723) 25168
96.0%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-2 3
< 0.1%
-1 2
 
< 0.1%
0 5
< 0.1%
20914192 1
 
< 0.1%
20914208 1
 
< 0.1%
20914232 1
 
< 0.1%
20914272 1
 
< 0.1%
20914308 1
 
< 0.1%
20914336 1
 
< 0.1%
20914364 1
 
< 0.1%
ValueCountFrequency (%)
23687104 1
< 0.1%
23687072 1
< 0.1%
23687032 1
< 0.1%
23686988 1
< 0.1%
23686936 1
< 0.1%
23686872 1
< 0.1%
23686802 1
< 0.1%
23686724 1
< 0.1%
23686640 1
< 0.1%
23686552 1
< 0.1%

Reactive power generator 0,Total accumulated [var]
Real number (ℝ)

High correlation  Missing 

Distinct5688
Distinct (%)22.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-93663.541
Minimum-99609
Maximum1
Zeros9
Zeros (%)< 0.1%
Negative25348
Negative (%)96.7%
Memory size1.4 MiB
2025-05-15T14:07:06.043794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-99609
5-th percentile-99085
Q1-95785.5
median-93262
Q3-91266
95-th percentile-89692
Maximum1
Range99610
Interquartile range (IQR)4519.5

Descriptive statistics

Standard deviation3453.8706
Coefficient of variation (CV)-0.036875295
Kurtosis211.49754
Mean-93663.541
Median Absolute Deviation (MAD)2099
Skewness7.4943094
Sum-2.3751201 × 109
Variance11929222
MonotonicityNot monotonic
2025-05-15T14:07:06.123268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-90911 1107
 
4.2%
-93280 449
 
1.7%
-91438 425
 
1.6%
-99025 393
 
1.5%
-94418 380
 
1.4%
-94195 374
 
1.4%
-90910 353
 
1.3%
-91266 305
 
1.2%
-89665 290
 
1.1%
-93282 282
 
1.1%
Other values (5678) 21000
80.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-99609 5
 
< 0.1%
-99608 115
0.4%
-99607 157
0.6%
-99606 81
0.3%
-99604 1
 
< 0.1%
-99602 1
 
< 0.1%
-99600 1
 
< 0.1%
-99598 1
 
< 0.1%
-99596 1
 
< 0.1%
-99594 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0 9
 
< 0.1%
-89658 2
 
< 0.1%
-89660 11
 
< 0.1%
-89661 3
 
< 0.1%
-89662 67
 
0.3%
-89663 109
 
0.4%
-89664 36
 
0.1%
-89665 290
1.1%
-89666 122
0.5%

Reactive power generator 1, Total accumulated [var]
Real number (ℝ)

High correlation  Missing 

Distinct48
Distinct (%)0.2%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean323.8126
Minimum0
Maximum343
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:06.197562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile298
Q1306
median329
Q3337
95-th percentile342
Maximum343
Range343
Interquartile range (IQR)31

Descriptive statistics

Standard deviation16.644403
Coefficient of variation (CV)0.051401343
Kurtosis54.74273
Mean323.8126
Median Absolute Deviation (MAD)11
Skewness-3.2651673
Sum8211240
Variance277.03614
MonotonicityNot monotonic
2025-05-15T14:07:06.274406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
340 2636
 
10.1%
302 1566
 
6.0%
343 1124
 
4.3%
301 1074
 
4.1%
298 1069
 
4.1%
325 1063
 
4.1%
334 1059
 
4.0%
324 994
 
3.8%
332 956
 
3.6%
336 908
 
3.5%
Other values (38) 12909
49.3%
ValueCountFrequency (%)
0 10
 
< 0.1%
296 70
 
0.3%
297 360
 
1.4%
298 1069
4.1%
299 85
 
0.3%
300 435
 
1.7%
301 1074
4.1%
302 1566
6.0%
303 235
 
0.9%
304 379
 
1.4%
ValueCountFrequency (%)
343 1124
4.3%
342 826
 
3.2%
341 418
 
1.6%
340 2636
10.1%
339 785
 
3.0%
338 390
 
1.5%
337 884
 
3.4%
336 908
 
3.5%
335 440
 
1.7%
334 1059
4.0%

Reactive power generator 2, Total accumulated [var]
Real number (ℝ)

High correlation  Missing 

Distinct358
Distinct (%)1.4%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2803.9616
Minimum0
Maximum2992
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:06.351993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2654
Q12705
median2792
Q32913
95-th percentile2967
Maximum2992
Range2992
Interquartile range (IQR)208

Descriptive statistics

Standard deviation123.68277
Coefficient of variation (CV)0.044110007
Kurtosis102.25752
Mean2803.9616
Median Absolute Deviation (MAD)95
Skewness-4.4026784
Sum71102858
Variance15297.427
MonotonicityNot monotonic
2025-05-15T14:07:06.430002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2959 2357
 
9.0%
2967 704
 
2.7%
2719 551
 
2.1%
2800 505
 
1.9%
2706 455
 
1.7%
2691 433
 
1.7%
2727 421
 
1.6%
2861 362
 
1.4%
2960 339
 
1.3%
2966 338
 
1.3%
Other values (348) 18893
72.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 10
 
< 0.1%
2635 82
 
0.3%
2636 12
 
< 0.1%
2637 139
0.5%
2638 26
 
0.1%
2639 102
 
0.4%
2640 5
 
< 0.1%
2641 8
 
< 0.1%
2642 286
1.1%
2643 110
 
0.4%
ValueCountFrequency (%)
2992 79
 
0.3%
2991 273
1.0%
2990 4
 
< 0.1%
2989 41
 
0.2%
2988 95
 
0.4%
2987 80
 
0.3%
2986 60
 
0.2%
2985 3
 
< 0.1%
2984 4
 
< 0.1%
2983 4
 
< 0.1%

Total reactive power [var]
Real number (ℝ)

High correlation  Missing 

Distinct5541
Distinct (%)21.9%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean-90535.127
Minimum-96276
Maximum1
Zeros9
Zeros (%)< 0.1%
Negative25348
Negative (%)96.7%
Memory size1.4 MiB
2025-05-15T14:07:06.511421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-96276
5-th percentile-95775
Q1-92534.5
median-90141
Q3-88256
95-th percentile-86737
Maximum1
Range96277
Interquartile range (IQR)4278.5

Descriptive statistics

Standard deviation3317.9309
Coefficient of variation (CV)-0.036647995
Kurtosis216.84948
Mean-90535.127
Median Absolute Deviation (MAD)1974
Skewness7.6300531
Sum-2.2957898 × 109
Variance11008666
MonotonicityNot monotonic
2025-05-15T14:07:06.744617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-91221 376
 
1.4%
-86735 337
 
1.3%
-90125 311
 
1.2%
-89112 294
 
1.1%
-90150 288
 
1.1%
-91027 285
 
1.1%
-95725 274
 
1.0%
-87702 270
 
1.0%
-88408 260
 
1.0%
-90160 257
 
1.0%
Other values (5531) 22406
85.5%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
-96276 3
 
< 0.1%
-96275 2
 
< 0.1%
-96274 2
 
< 0.1%
-96273 113
0.4%
-96272 41
 
0.2%
-96271 198
0.8%
-96269 1
 
< 0.1%
-96267 1
 
< 0.1%
-96264 1
 
< 0.1%
-96262 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0 9
 
< 0.1%
-86709 2
 
< 0.1%
-86711 7
 
< 0.1%
-86712 4
 
< 0.1%
-86713 4
 
< 0.1%
-86714 2
 
< 0.1%
-86715 53
0.2%
-86716 12
 
< 0.1%
-86717 46
0.2%

System Logs First Active Alarm No
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct15
Distinct (%)0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean37.409259
Minimum0
Maximum844
Zeros21107
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:06.805857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile224
Maximum844
Range844
Interquartile range (IQR)0

Descriptive statistics

Standard deviation86.70497
Coefficient of variation (CV)2.3177409
Kurtosis7.5386962
Mean37.409259
Median Absolute Deviation (MAD)0
Skewness2.4098162
Sum948624
Variance7517.7519
MonotonicityNot monotonic
2025-05-15T14:07:06.857622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 21107
80.5%
220 2009
 
7.7%
224 1542
 
5.9%
222 305
 
1.2%
144 254
 
1.0%
684 52
 
0.2%
181 25
 
0.1%
276 18
 
0.1%
49 10
 
< 0.1%
223 8
 
< 0.1%
Other values (5) 28
 
0.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 21107
80.5%
49 10
 
< 0.1%
144 254
 
1.0%
181 25
 
0.1%
182 8
 
< 0.1%
220 2009
 
7.7%
222 305
 
1.2%
223 8
 
< 0.1%
224 1542
 
5.9%
276 18
 
0.1%
ValueCountFrequency (%)
844 3
 
< 0.1%
684 52
 
0.2%
356 4
 
< 0.1%
333 6
 
< 0.1%
315 7
 
< 0.1%
276 18
 
0.1%
224 1542
5.9%
223 8
 
< 0.1%
222 305
 
1.2%
220 2009
7.7%

First Alarm parameter 1 in 10 min frame
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2.5515025
Minimum0
Maximum257
Zeros25066
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:06.907278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum257
Range257
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.142299
Coefficient of variation (CV)9.8539191
Kurtosis94.402467
Mean2.5515025
Median Absolute Deviation (MAD)0
Skewness9.8114818
Sum64701
Variance632.1352
MonotonicityNot monotonic
2025-05-15T14:07:06.959842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 25066
95.6%
251 173
 
0.7%
254 63
 
0.2%
257 18
 
0.1%
1 15
 
0.1%
10 10
 
< 0.1%
2 5
 
< 0.1%
81 3
 
< 0.1%
59 3
 
< 0.1%
102 1
 
< 0.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 25066
95.6%
1 15
 
0.1%
2 5
 
< 0.1%
3 1
 
< 0.1%
10 10
 
< 0.1%
59 3
 
< 0.1%
81 3
 
< 0.1%
102 1
 
< 0.1%
251 173
 
0.7%
254 63
 
0.2%
ValueCountFrequency (%)
257 18
 
0.1%
254 63
 
0.2%
251 173
0.7%
102 1
 
< 0.1%
81 3
 
< 0.1%
59 3
 
< 0.1%
10 10
 
< 0.1%
3 1
 
< 0.1%
2 5
 
< 0.1%
1 15
 
0.1%

First Alarm parameter 2 in 10 min frame
Real number (ℝ)

High correlation  Missing  Skewed  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing850
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.0867576
Minimum0
Maximum4325
Zeros25330
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:07:07.010006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4325
Range4325
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61.974824
Coefficient of variation (CV)57.027273
Kurtosis4453.9633
Mean1.0867576
Median Absolute Deviation (MAD)0
Skewness65.838167
Sum27558
Variance3840.8788
MonotonicityNot monotonic
2025-05-15T14:07:07.060867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 25330
96.6%
1 8
 
< 0.1%
216 7
 
< 0.1%
4325 4
 
< 0.1%
44 3
 
< 0.1%
406 1
 
< 0.1%
956 1
 
< 0.1%
686 1
 
< 0.1%
376 1
 
< 0.1%
2234 1
 
< 0.1%
(Missing) 850
 
3.2%
ValueCountFrequency (%)
0 25330
96.6%
1 8
 
< 0.1%
44 3
 
< 0.1%
216 7
 
< 0.1%
376 1
 
< 0.1%
406 1
 
< 0.1%
686 1
 
< 0.1%
956 1
 
< 0.1%
2234 1
 
< 0.1%
3948 1
 
< 0.1%
ValueCountFrequency (%)
4325 4
< 0.1%
3948 1
 
< 0.1%
2234 1
 
< 0.1%
956 1
 
< 0.1%
686 1
 
< 0.1%
406 1
 
< 0.1%
376 1
 
< 0.1%
216 7
< 0.1%
44 3
 
< 0.1%
1 8
< 0.1%

missing_data
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
False
25358 
True
 
850
ValueCountFrequency (%)
False 25358
96.8%
True 850
 
3.2%
2025-05-15T14:07:07.099178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-15T14:07:07.247173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Active power limit [W]Active power limit sourceAmbient Temp. Avg. [°C]Ambient WindDir Absolute Avg. [°]Ambient WindDir Relative Avg. [°]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed StdDev [m/s]Ambient ok hours [h]Avg. direction [°]Blades PitchAngle Avg. [°]Blades PitchAngle Max. [°]Blades PitchAngle Min. [°]Blades PitchAngle StdDev [°]Controller Ground Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]First Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min frameGear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Generator 1 hours [h]Generator 2 hours [h]Generator Bearing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator RPM Avg. [RPM]Generator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM StdDev [RPM]Generator SlipRing Temp. Avg. [°C]Grid Busbar Temp. Avg. [°C]Grid InverterPhase1 Temp. Avg. [°C]Grid Production CosPhi Avg.Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Frequency Avg. [Hz]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production Power Avg. [W]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid ok hours [h]Grid on hours [h]HVTrafo AirOutlet Temp. Avg. [°C]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HourCounters Average AlarmActive Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average Yaw Avg. [h]Hydraulic Oil Temp. Avg. [°C]Nacelle Temp. Avg. [°C]Power factor set pointPower factor set point sourceProduction LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Total Reactive Power Avg. [var]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Rotor RPM Avg. [RPM]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM StdDev [RPM]Run hours [h]Service hours [h]Spinner Temp. Avg. [°C]System Logs First Active Alarm NoTotal Active power [W]Total hour counter [h]Total reactive power [var]Turbine ok hours [h]Wind ok hours [h]Yaw hours [h]missing_data
Active power generator 0, Total accumulated [W]1.000-1.000-1.0000.3310.037-0.777-0.253-0.0120.0400.0590.0250.068-1.000-0.241-0.200-0.236-0.1930.222-0.721-0.580-0.5820.100-0.472-0.023-0.0040.0120.2060.2230.2220.2250.2420.2270.132-1.000-1.0000.2590.167-0.0410.1730.1780.1770.2080.2210.1880.148-0.328-0.1000.0670.2030.1980.1980.1970.0180.0440.0320.0510.0270.2170.2310.1340.2470.1450.1730.0030.0320.1210.1850.1600.0730.0700.147-1.000-1.000-0.069-0.063-0.050-0.042-0.3120.2010.1100.1240.206-0.0700.304-0.2340.1840.0210.0620.199-0.4260.0370.0370.2320.1230.1590.1480.052-0.0780.2610.0971.000-0.993-0.9950.2070.2210.1900.144-1.000-0.988-0.689-0.308-0.998-1.0000.999-1.000-1.000-1.0001.000
Active power generator 1, Total accumulated [W]-1.0001.0001.000-0.3300.0340.7750.2550.013-0.041-0.059-0.026-0.0681.0000.2420.2010.2370.193-0.2220.7190.5760.578-0.0990.4710.0220.004-0.011-0.207-0.223-0.222-0.226-0.243-0.228-0.1321.0001.000-0.259-0.1660.040-0.173-0.178-0.176-0.208-0.222-0.189-0.1480.3260.100-0.067-0.206-0.199-0.200-0.198-0.018-0.045-0.032-0.052-0.027-0.217-0.231-0.135-0.248-0.146-0.173-0.003-0.032-0.122-0.186-0.161-0.074-0.071-0.1481.0001.0000.0700.0630.0500.0430.313-0.201-0.110-0.124-0.2070.071-0.3040.235-0.185-0.021-0.061-0.1980.4250.0340.034-0.231-0.123-0.159-0.150-0.0510.077-0.261-0.099-0.9990.9940.995-0.208-0.221-0.191-0.1451.0000.9870.6860.3081.0001.000-0.9991.0001.0001.0001.000
Active power generator 2, Total accumulated [W]-1.0001.0001.000-0.3290.0410.7760.2550.013-0.041-0.059-0.026-0.0681.0000.2420.2000.2360.193-0.2220.7200.5770.579-0.0990.4710.0230.003-0.011-0.206-0.223-0.221-0.225-0.242-0.227-0.1311.0001.000-0.258-0.1660.041-0.172-0.177-0.176-0.207-0.221-0.188-0.1470.3270.100-0.067-0.206-0.198-0.199-0.197-0.018-0.045-0.032-0.052-0.027-0.216-0.230-0.134-0.247-0.146-0.172-0.003-0.032-0.122-0.186-0.161-0.073-0.070-0.1471.0001.0000.0700.0640.0510.0430.312-0.201-0.110-0.124-0.2070.070-0.3030.234-0.185-0.021-0.061-0.1980.4260.0410.041-0.230-0.123-0.159-0.149-0.0510.077-0.260-0.098-0.9990.9940.995-0.207-0.220-0.190-0.1441.0000.9870.6870.3071.0001.000-0.9991.0001.0001.0001.000
Active power limit [W]0.331-0.330-0.3291.0000.558-0.168-0.2010.060-0.074-0.0650.019-0.089-0.3310.135-0.585-0.596-0.5830.400-0.1550.088-0.0270.5640.0920.470-0.1310.0080.5640.5610.5650.5720.5790.5650.655-0.330-0.3290.5640.5620.5150.5450.5470.5500.5070.4710.5080.2790.2920.4900.4880.4180.4590.4690.4640.025-0.097-0.0970.009-0.1060.4440.4420.3260.4950.2520.296-0.0350.0340.0700.0800.1010.4960.5060.526-0.331-0.3310.4080.4420.4670.458-0.8770.6750.2460.3370.6590.2800.894-0.6160.6480.0160.1150.2940.2730.5580.5580.5210.2350.3230.2520.1010.0470.4520.2230.327-0.330-0.3230.5160.4730.5180.284-0.330-0.336-0.122-0.873-0.329-0.3310.326-0.331-0.331-0.3311.000
Active power limit source0.0370.0340.0410.5581.0000.0720.0890.0060.1110.1000.2960.2320.0370.1730.1820.2960.2960.1880.3160.3170.3160.3150.3140.3150.0000.0000.3150.3160.3150.3160.3180.3140.3180.0360.0390.1150.1160.3150.1310.1600.1560.0610.0900.2960.1900.3140.3140.3140.0920.0390.0350.0400.3140.0920.0720.0420.1500.0380.3220.1160.1940.0990.0360.0350.0620.1470.1470.1470.3140.3140.3150.0360.0400.2120.3150.3160.3160.0170.2860.1270.0410.3150.5890.3330.2830.2980.1170.0000.3150.3190.9940.9940.0620.0260.0180.0680.2090.0000.0150.0620.0150.0380.0450.0610.0880.2960.1970.0370.0660.3150.0060.0400.0340.0150.0370.0400.0371.000
Ambient Temp. Avg. [°C]-0.7770.7750.776-0.1680.0721.0000.1760.047-0.229-0.245-0.197-0.2240.7780.2450.1970.2310.174-0.2040.8850.7760.687-0.0980.5520.038-0.0450.002-0.241-0.258-0.258-0.259-0.275-0.261-0.0610.7750.776-0.267-0.1980.071-0.209-0.215-0.214-0.275-0.287-0.252-0.1560.4180.125-0.079-0.243-0.264-0.260-0.2620.003-0.234-0.229-0.209-0.212-0.295-0.309-0.234-0.295-0.172-0.211-0.0650.033-0.153-0.190-0.159-0.088-0.080-0.1350.7780.7770.2000.0600.0760.0470.163-0.114-0.219-0.025-0.1360.057-0.1570.161-0.114-0.181-0.123-0.0860.5590.0720.072-0.257-0.226-0.060-0.176-0.1390.052-0.302-0.174-0.7770.7660.778-0.271-0.285-0.252-0.1380.7750.7690.9000.1610.7720.777-0.7770.7780.7770.7771.000
Ambient WindDir Absolute Avg. [°]-0.2530.2550.255-0.2010.0890.1761.000-0.0330.0470.0110.050-0.0490.2530.5220.0600.0950.045-0.1560.1930.0840.063-0.1330.057-0.075-0.083-0.001-0.128-0.133-0.129-0.132-0.133-0.133-0.1450.2550.255-0.143-0.121-0.095-0.114-0.116-0.118-0.110-0.125-0.076-0.086-0.030-0.096-0.090-0.061-0.122-0.124-0.122-0.0150.0380.0190.0270.037-0.095-0.111-0.042-0.1440.004-0.0610.093-0.102-0.033-0.063-0.057-0.092-0.096-0.1130.2530.253-0.007-0.089-0.075-0.0890.205-0.170-0.075-0.020-0.212-0.036-0.2070.216-0.2280.096-0.097-0.083-0.0070.0890.089-0.061-0.094-0.0290.010-0.037-0.004-0.1100.005-0.2530.2500.254-0.109-0.124-0.086-0.0900.2550.2700.1660.2030.2570.253-0.2530.2530.2530.2531.000
Ambient WindDir Relative Avg. [°]-0.0120.0130.0130.0600.0060.047-0.0331.000-0.058-0.049-0.071-0.0230.0130.082-0.043-0.051-0.0320.0440.0340.0820.0390.0350.0190.046-0.0230.0050.0180.0180.0150.0130.0090.0160.0580.0130.0130.0260.0270.0470.0240.0230.0220.0030.015-0.0050.0920.0650.0610.0350.0110.0110.0110.0090.003-0.056-0.048-0.080-0.004-0.023-0.009-0.0660.0400.0230.060-0.0760.0790.002-0.009-0.0080.0340.0350.0270.0130.0120.0110.0480.0610.054-0.0510.112-0.0360.0690.109-0.0120.051-0.1170.086-0.0320.1080.0480.0870.0060.006-0.007-0.0430.0650.012-0.0050.036-0.0250.010-0.0130.0110.0120.0020.015-0.0080.0850.0130.0150.047-0.0410.0140.012-0.0130.0130.0120.0121.000
Ambient WindSpeed Avg. [m/s]0.040-0.041-0.041-0.0740.111-0.2290.047-0.0581.0000.9710.9000.773-0.041-0.043-0.292-0.328-0.2250.250-0.164-0.2600.0910.5190.2440.5510.163-0.0110.6430.6430.6460.6300.6130.6370.299-0.041-0.0410.6000.6190.4780.6440.6430.6410.6920.6960.6440.2330.2130.4740.6140.5190.7000.6920.695-0.0020.9940.9580.8700.7680.7050.6960.6730.5700.3210.3900.217-0.2080.2290.2300.2810.6270.6110.608-0.041-0.0400.0080.5520.5000.5480.101-0.0960.694-0.273-0.040-0.076-0.1040.020-0.0660.7620.138-0.1080.1800.1110.1110.4410.721-0.2020.3420.392-0.1200.6550.4060.040-0.046-0.0360.6820.6950.6340.180-0.041-0.045-0.3240.096-0.041-0.0400.042-0.041-0.040-0.0401.000
Ambient WindSpeed Max. [m/s]0.059-0.059-0.059-0.0650.100-0.2450.011-0.0490.9711.0000.8210.874-0.060-0.072-0.266-0.341-0.1760.306-0.162-0.2580.0750.5130.2340.5400.164-0.0060.6330.6340.6370.6180.6000.6280.290-0.059-0.0590.5960.6140.4730.6380.6370.6350.6780.7040.5990.2900.2010.4760.6030.4910.6920.6840.6860.0010.9750.9680.8070.8090.6920.7040.6210.6060.3160.4220.170-0.1530.2250.2360.2900.6140.6000.600-0.060-0.0590.0130.5470.4960.5450.095-0.0920.692-0.283-0.035-0.084-0.0990.013-0.0610.7230.213-0.1090.1780.1000.1000.4160.720-0.2080.3270.403-0.0830.6410.4070.059-0.064-0.0550.6660.7020.5910.238-0.059-0.068-0.3220.090-0.060-0.0590.060-0.060-0.059-0.0591.000
Ambient WindSpeed Min. [m/s]0.025-0.026-0.0260.0190.296-0.1970.050-0.0710.9000.8211.0000.513-0.0250.001-0.347-0.314-0.3490.112-0.157-0.2170.0950.5050.2290.5220.157-0.0160.6150.6100.6190.6100.6020.6080.318-0.026-0.0260.5670.5870.4570.6050.6030.6010.6800.6200.7050.0880.2170.4380.5840.5300.6610.6540.657-0.0210.8840.8230.9220.5620.6680.6210.7420.4580.2910.2770.279-0.3010.2110.1980.2430.5960.5810.576-0.025-0.0250.0350.5100.4620.5050.021-0.0160.635-0.2140.0430.114-0.019-0.0160.0160.7300.012-0.0820.1830.2960.2960.4710.655-0.1670.3350.310-0.1790.6260.3630.025-0.028-0.0160.6730.6210.6960.043-0.026-0.024-0.2940.006-0.027-0.0250.026-0.025-0.025-0.0251.000
Ambient WindSpeed StdDev [m/s]0.068-0.068-0.068-0.0890.232-0.224-0.049-0.0230.7730.8740.5131.000-0.069-0.131-0.083-0.2420.0530.417-0.126-0.2230.0520.3990.1940.4180.1640.0020.4820.4860.4830.4650.4380.4800.205-0.068-0.0680.4700.4790.3670.4990.4990.4970.5140.5920.3730.3730.1540.3920.4660.2970.5370.5310.5300.0080.7940.8460.5400.7900.5280.5830.3800.5700.2430.4270.0240.0250.1740.2030.2470.4680.4590.462-0.069-0.068-0.0030.4450.3940.4450.121-0.1050.562-0.294-0.049-0.116-0.1270.021-0.0730.5060.349-0.1200.1550.2320.2320.2450.602-0.2210.2330.3710.0220.4860.3420.069-0.071-0.0660.4990.5880.3710.322-0.068-0.084-0.2590.120-0.068-0.0680.070-0.069-0.068-0.0691.000
Ambient ok hours [h]-1.0001.0001.000-0.3310.0370.7780.2530.013-0.041-0.060-0.025-0.0691.0000.2410.2000.2360.193-0.2230.7210.5800.582-0.0990.4720.0230.004-0.012-0.207-0.223-0.222-0.226-0.243-0.227-0.1321.0001.000-0.259-0.1670.041-0.173-0.178-0.177-0.208-0.222-0.189-0.1480.3280.100-0.067-0.203-0.198-0.199-0.197-0.018-0.045-0.033-0.051-0.028-0.217-0.232-0.135-0.247-0.145-0.173-0.004-0.032-0.121-0.185-0.160-0.073-0.070-0.1481.0001.0000.0700.0630.0500.0430.312-0.201-0.110-0.124-0.2060.070-0.3040.234-0.184-0.022-0.062-0.1980.4270.0370.037-0.232-0.124-0.159-0.148-0.0520.077-0.261-0.097-0.9990.9930.995-0.208-0.221-0.191-0.1441.0000.9880.6890.3080.9981.000-0.9991.0001.0001.0001.000
Avg. direction [°]-0.2410.2420.2420.1350.1730.2450.5220.082-0.043-0.0720.001-0.1310.2411.000-0.148-0.111-0.167-0.0430.2450.2790.1890.1120.1220.110-0.0560.0130.0790.0700.0750.0780.0730.0730.1210.2420.2430.0530.0850.1340.0800.0780.0790.0680.0350.1010.0050.1540.1340.0910.0940.0770.0770.076-0.006-0.059-0.063-0.010-0.0340.0190.0020.0370.039-0.008-0.020-0.0620.0350.002-0.023-0.0030.0920.0940.0700.2410.2410.1580.1200.1410.124-0.1050.2490.0120.0890.2370.0930.118-0.2280.2480.0480.0220.0930.2270.1730.1730.063-0.0110.0830.000-0.007-0.0170.016-0.014-0.2430.2350.2410.0740.0380.1000.0060.2420.2560.244-0.0830.2430.241-0.2430.2410.2410.2411.000
Blades PitchAngle Avg. [°]-0.2000.2010.200-0.5850.1820.1970.060-0.043-0.292-0.266-0.347-0.0830.200-0.1481.0000.9230.955-0.2420.1370.0020.127-0.596-0.007-0.4980.1480.048-0.687-0.677-0.698-0.691-0.720-0.680-0.5730.2010.200-0.625-0.653-0.517-0.634-0.634-0.638-0.714-0.656-0.718-0.451-0.156-0.463-0.593-0.749-0.691-0.693-0.693-0.003-0.270-0.229-0.302-0.288-0.670-0.644-0.596-0.692-0.414-0.362-0.2050.282-0.142-0.123-0.179-0.600-0.593-0.6100.2000.200-0.290-0.445-0.491-0.4570.644-0.491-0.397-0.418-0.465-0.119-0.6480.454-0.489-0.517-0.132-0.207-0.1130.1820.182-0.783-0.316-0.449-0.433-0.1290.076-0.645-0.350-0.1960.2010.194-0.722-0.658-0.723-0.4420.2000.2000.2560.6370.2010.200-0.1960.2000.2000.2001.000
Blades PitchAngle Max. [°]-0.2360.2370.236-0.5960.2960.2310.095-0.051-0.328-0.341-0.314-0.2420.236-0.1110.9231.0000.840-0.4460.1570.0230.119-0.660-0.039-0.5460.1470.037-0.733-0.725-0.743-0.730-0.745-0.727-0.6150.2370.236-0.677-0.701-0.561-0.685-0.686-0.690-0.757-0.740-0.703-0.524-0.186-0.514-0.655-0.765-0.745-0.747-0.746-0.017-0.312-0.304-0.267-0.402-0.719-0.726-0.557-0.811-0.447-0.438-0.1850.223-0.151-0.137-0.195-0.649-0.642-0.6610.2360.236-0.308-0.499-0.534-0.5110.653-0.491-0.427-0.423-0.466-0.085-0.6580.465-0.490-0.529-0.263-0.193-0.1520.2960.296-0.788-0.371-0.467-0.445-0.1990.013-0.691-0.396-0.2320.2380.230-0.759-0.740-0.711-0.5060.2360.2410.2780.6430.2370.236-0.2320.2360.2360.2361.000
Blades PitchAngle Min. [°]-0.1930.1930.193-0.5830.2960.1740.045-0.032-0.225-0.176-0.3490.0530.193-0.1670.9550.8401.000-0.1220.134-0.0160.118-0.5550.013-0.4420.1490.052-0.623-0.612-0.633-0.631-0.660-0.616-0.5510.1930.192-0.565-0.588-0.464-0.571-0.570-0.574-0.649-0.557-0.704-0.293-0.140-0.405-0.539-0.742-0.620-0.623-0.6240.011-0.200-0.138-0.310-0.156-0.606-0.553-0.625-0.566-0.354-0.217-0.2920.383-0.117-0.093-0.139-0.540-0.534-0.5490.1930.193-0.268-0.383-0.427-0.3940.643-0.495-0.303-0.469-0.470-0.138-0.6460.453-0.492-0.475-0.044-0.225-0.1000.2960.296-0.778-0.229-0.467-0.410-0.0570.162-0.588-0.280-0.1890.1940.186-0.657-0.560-0.707-0.2890.1930.1880.2350.6380.1930.193-0.1880.1930.1930.1931.000
Blades PitchAngle StdDev [°]0.222-0.222-0.2220.4000.188-0.204-0.1560.0440.2500.3060.1120.417-0.223-0.043-0.242-0.446-0.1221.000-0.141-0.0380.0240.5610.1750.470-0.082-0.0020.5440.5500.5350.5490.5220.5360.552-0.223-0.2220.5530.5480.4790.5510.5510.5530.5410.6290.4400.3780.2780.4580.5290.3640.5580.5600.5580.0130.2450.3010.0070.3490.5340.6130.2150.6450.4700.6660.0540.1250.0940.0980.1330.5180.5180.530-0.223-0.2230.1980.4540.4320.462-0.4420.2690.3420.2860.254-0.1090.434-0.2950.2700.1610.4370.1090.2420.1880.1880.4630.4050.2490.4080.2940.2940.5270.4710.220-0.229-0.2170.5340.6260.4440.340-0.223-0.237-0.197-0.428-0.223-0.2230.221-0.223-0.222-0.2221.000
Controller Ground Temp. Avg. [°C]-0.7210.7190.720-0.1550.3160.8850.1930.034-0.164-0.162-0.157-0.1260.7210.2450.1370.1570.134-0.1411.0000.7540.629-0.0690.5210.058-0.0570.000-0.182-0.201-0.199-0.199-0.217-0.205-0.0450.7190.720-0.221-0.1520.087-0.162-0.168-0.166-0.203-0.209-0.197-0.0910.3910.148-0.039-0.179-0.190-0.188-0.189-0.001-0.165-0.149-0.167-0.113-0.220-0.227-0.182-0.206-0.115-0.149-0.0380.009-0.141-0.159-0.125-0.048-0.041-0.0910.7210.7210.2080.0780.0980.0710.140-0.095-0.169-0.006-0.1210.072-0.1330.148-0.094-0.108-0.053-0.1020.5340.3160.316-0.191-0.178-0.034-0.124-0.1140.055-0.231-0.121-0.7200.7100.720-0.200-0.209-0.195-0.0800.7200.7110.8560.1370.7170.721-0.7200.7210.7210.7211.000
Controller Hub Temp. Avg. [°C]-0.5800.5760.5770.0880.3170.7760.0840.082-0.260-0.258-0.217-0.2230.5800.2790.0020.023-0.016-0.0380.7541.0000.5930.0430.4580.128-0.080-0.019-0.085-0.103-0.102-0.096-0.110-0.1070.1150.5760.577-0.119-0.0520.178-0.074-0.079-0.076-0.112-0.127-0.101-0.0030.4680.2230.039-0.081-0.105-0.101-0.1050.008-0.271-0.261-0.241-0.222-0.181-0.187-0.181-0.123-0.082-0.110-0.1120.089-0.121-0.144-0.1060.0280.038-0.0040.5800.5800.2940.1260.1470.122-0.1080.166-0.1790.1420.1470.1110.116-0.1250.173-0.1670.0040.0490.5810.3170.317-0.105-0.1900.102-0.090-0.1190.086-0.185-0.104-0.5800.5700.577-0.109-0.126-0.098-0.0010.5770.5650.839-0.0990.5730.580-0.5800.5800.5800.5801.000
Controller Top Temp. Avg. [°C]-0.5820.5780.579-0.0270.3160.6870.0630.0390.0910.0750.0950.0520.5820.1890.1270.1190.1180.0240.6290.5931.0000.2370.7360.372-0.0460.0140.1200.1020.0960.0920.0560.0950.1830.5780.5790.0980.1740.3560.1640.1580.1570.0510.0490.047-0.0840.7620.4500.267-0.0090.0700.0720.0700.0000.0830.0840.0800.0330.0400.0320.062-0.018-0.0100.005-0.0170.024-0.012-0.051-0.0020.2630.2660.2190.5820.5820.4100.3740.3260.3650.068-0.0350.103-0.146-0.059-0.008-0.0680.061-0.0630.024-0.041-0.1310.7860.3160.316-0.0660.134-0.172-0.0050.0900.0430.0050.052-0.5830.5760.5830.0470.0500.045-0.0810.5790.5600.6550.0710.5750.582-0.5820.5820.5820.5821.000
Controller VCP ChokecoilTemp. Avg. [°C]0.100-0.099-0.0990.5640.315-0.098-0.1330.0350.5190.5130.5050.399-0.0990.112-0.596-0.660-0.5550.561-0.0690.0430.2371.0000.4800.851-0.094-0.0110.9040.8970.8930.8880.8620.8970.798-0.099-0.0990.9090.9380.8520.9250.9260.9270.8450.8300.8080.3030.5160.8700.8960.6890.8420.8450.8420.0110.5000.4840.4750.4140.8260.8210.7040.7670.3970.4540.181-0.1580.1550.1450.2090.8860.8870.891-0.099-0.0990.4130.8480.8190.850-0.5750.4240.6290.1310.4100.0330.576-0.4240.4140.4840.2200.1090.5470.3150.3150.7160.6590.1460.4170.347-0.0360.7920.4340.096-0.104-0.0870.8430.8300.8100.272-0.100-0.113-0.151-0.566-0.099-0.0990.097-0.099-0.099-0.0991.000
Controller VCP Temp. Avg. [°C]-0.4720.4710.4710.0920.3140.5520.0570.0190.2440.2340.2290.1940.4720.122-0.007-0.0390.0130.1750.5210.4580.7360.4801.0000.652-0.0810.0220.3580.3420.3340.3270.2880.3340.3290.4710.4710.3550.4250.5950.4300.4240.4210.2710.2760.252-0.0260.6500.6720.5370.1380.2640.2680.265-0.0010.2330.2360.2100.1820.3120.3080.2910.1940.1940.2270.141-0.1110.0300.0090.0720.5330.5350.4880.4720.4720.4190.6200.5800.611-0.060-0.0500.331-0.187-0.090-0.0130.0600.087-0.1020.145-0.018-0.1780.7980.3140.3140.1660.364-0.2030.2080.1910.0620.2670.271-0.4730.4690.4780.2670.2760.250-0.0310.4710.4500.530-0.0690.4690.472-0.4720.4730.4720.4721.000
Controller VCP WaterTemp. Avg. [°C]-0.0230.0220.0230.4700.3150.038-0.0750.0460.5510.5400.5220.4180.0230.110-0.498-0.546-0.4420.4700.0580.1280.3720.8510.6521.000-0.101-0.0030.8660.8570.8520.8450.8170.8510.6970.0220.0230.8570.8950.9550.9080.9040.9040.7940.7870.7530.2600.5880.8940.9640.6060.7880.7930.7890.0060.5330.5170.4950.4510.7990.7940.6860.7090.4060.5040.156-0.1300.1690.1610.2350.9690.9710.9530.0230.0230.4780.9040.8790.909-0.4560.2960.715-0.0730.268-0.0080.455-0.2890.2590.4580.1470.0130.6530.3150.3150.6170.734-0.0530.4210.3850.0100.7490.479-0.0260.0180.0330.7920.7880.7530.2330.0220.005-0.008-0.4520.0220.023-0.0250.0230.0230.0231.000
First Alarm parameter 1 in 10 min frame-0.0040.0040.003-0.1310.000-0.045-0.083-0.0230.1630.1640.1570.1640.004-0.0560.1480.1470.149-0.082-0.057-0.080-0.046-0.094-0.081-0.1011.0000.305-0.105-0.103-0.107-0.119-0.124-0.094-0.1270.0040.003-0.076-0.075-0.106-0.087-0.085-0.085-0.103-0.080-0.1100.021-0.047-0.069-0.104-0.062-0.093-0.097-0.096-0.0290.1620.1350.158-0.121-0.124-0.118-0.120-0.104-0.076-0.058-0.0650.0620.0020.015-0.009-0.108-0.106-0.1060.0040.004-0.141-0.089-0.108-0.0900.238-0.284-0.058-0.0880.0220.011-0.235-0.0300.002-0.141-0.009-0.046-0.0870.0000.000-0.154-0.050-0.077-0.077-0.032-0.023-0.116-0.076-0.004-0.0020.001-0.104-0.081-0.1120.0170.0030.003-0.0670.2000.0030.004-0.0040.0040.0040.0041.000
First Alarm parameter 2 in 10 min frame0.012-0.011-0.0110.0080.0000.002-0.0010.005-0.011-0.006-0.0160.002-0.0120.0130.0480.0370.052-0.0020.000-0.0190.014-0.0110.022-0.0030.3051.000-0.020-0.018-0.018-0.021-0.022-0.015-0.015-0.011-0.011-0.010-0.014-0.010-0.013-0.013-0.013-0.041-0.030-0.047-0.0170.016-0.009-0.014-0.017-0.038-0.038-0.037-0.097-0.008-0.003-0.0140.002-0.021-0.016-0.023-0.0280.0210.0200.012-0.009-0.018-0.015-0.018-0.013-0.011-0.009-0.012-0.0120.022-0.003-0.005-0.0040.070-0.007-0.017-0.023-0.0220.003-0.069-0.006-0.056-0.017-0.0100.0140.0170.0000.000-0.009-0.0150.0020.012-0.002-0.032-0.001-0.0030.013-0.016-0.011-0.042-0.030-0.048-0.012-0.012-0.0140.0040.080-0.010-0.0120.012-0.012-0.012-0.0121.000
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]0.206-0.207-0.2060.5640.315-0.241-0.1280.0180.6430.6330.6150.482-0.2070.079-0.687-0.733-0.6230.544-0.182-0.0850.1200.9040.3580.866-0.105-0.0201.0000.9970.9970.9910.9780.9940.790-0.207-0.2060.9490.9730.8530.9760.9770.9790.9590.9440.9130.3670.4390.8090.9250.7590.9550.9570.9560.0090.6240.6000.5920.5260.9480.9410.8160.8740.4330.5380.163-0.1520.2210.2210.2880.9410.9370.946-0.207-0.2070.3860.8450.8270.854-0.5880.4190.7970.0130.4000.0090.587-0.4210.4050.5680.2070.1180.4340.3150.3150.7750.8110.0560.4510.430-0.0550.9060.4920.203-0.211-0.1960.9580.9450.9150.337-0.207-0.216-0.291-0.580-0.207-0.2070.203-0.207-0.207-0.2071.000
Gear Bearing TemperatureHSMiddle Avg. [°C]0.223-0.223-0.2230.5610.316-0.258-0.1330.0180.6430.6340.6100.486-0.2230.070-0.677-0.725-0.6120.550-0.201-0.1030.1020.8970.3420.857-0.103-0.0180.9971.0000.9960.9910.9780.9940.788-0.223-0.2220.9500.9700.8440.9740.9750.9770.9550.9440.9080.3700.4240.8000.9170.7480.9510.9540.9520.0080.6240.6010.5870.5280.9450.9400.8080.8740.4340.5460.156-0.1400.2220.2240.2900.9350.9310.941-0.223-0.2230.3720.8400.8220.849-0.5840.4150.7980.0070.396-0.0020.582-0.4210.3990.5570.2100.1240.4170.3160.3160.7670.8120.0510.4510.433-0.0500.9050.4930.219-0.228-0.2120.9550.9440.9100.339-0.223-0.232-0.310-0.575-0.224-0.2230.220-0.223-0.223-0.2231.000
Gear Bearing TemperatureHSRotorEnd Avg. [°C]0.222-0.222-0.2210.5650.315-0.258-0.1290.0150.6460.6370.6190.483-0.2220.075-0.698-0.743-0.6330.535-0.199-0.1020.0960.8930.3340.852-0.107-0.0180.9970.9961.0000.9910.9810.9940.789-0.222-0.2210.9450.9660.8380.9700.9700.9720.9620.9470.9160.3710.4180.7920.9150.7620.9580.9610.9590.0090.6280.6030.6000.5310.9520.9440.8230.8780.4310.5350.165-0.1580.2240.2260.2920.9330.9280.938-0.222-0.2220.3740.8310.8130.840-0.5880.4190.7990.0120.3990.0110.587-0.4190.4040.5780.2010.1220.4100.3150.3150.7780.8100.0600.4490.427-0.0630.9120.4870.218-0.227-0.2110.9620.9470.9190.341-0.222-0.231-0.309-0.580-0.222-0.2220.218-0.222-0.222-0.2221.000
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]0.225-0.226-0.2250.5720.316-0.259-0.1320.0130.6300.6180.6100.465-0.2260.078-0.691-0.730-0.6310.549-0.199-0.0960.0920.8880.3270.845-0.119-0.0210.9910.9910.9911.0000.9880.9870.791-0.226-0.2250.9420.9640.8370.9640.9650.9670.9640.9420.9270.3450.4150.7820.9060.7600.9540.9570.9560.0100.6100.5880.5800.5170.9480.9370.8180.8720.4490.5460.169-0.1530.2240.2240.2910.9270.9230.933-0.226-0.2260.3710.8200.8030.829-0.6010.4320.7970.0240.4100.0270.601-0.4250.4190.5530.2080.1260.4090.3160.3160.7860.8100.0620.4670.426-0.0500.9090.5040.222-0.230-0.2140.9650.9420.9290.314-0.226-0.233-0.309-0.593-0.226-0.2260.222-0.226-0.226-0.2261.000
Gear Bearing TemperatureHollowShaftRotor Avg. [°C]0.242-0.243-0.2420.5790.318-0.275-0.1330.0090.6130.6000.6020.438-0.2430.073-0.720-0.745-0.6600.522-0.217-0.1100.0560.8620.2880.817-0.124-0.0220.9780.9780.9810.9881.0000.9770.789-0.243-0.2420.9300.9480.8090.9460.9470.9490.9560.9280.9250.3430.3780.7510.8790.7550.9410.9450.9430.0110.5930.5690.5700.5040.9380.9250.8140.8620.4580.5500.168-0.1600.2280.2290.2950.9050.8990.911-0.243-0.2430.3570.7890.7770.799-0.6060.4360.7920.0310.4120.0400.607-0.4230.4220.5480.1930.1350.3670.3180.3180.7890.7940.0700.4750.409-0.0510.9010.5050.239-0.246-0.2320.9590.9280.9280.315-0.243-0.249-0.327-0.599-0.243-0.2430.239-0.243-0.243-0.2431.000
Gear Oil TemperatureBasis Avg. [°C]0.227-0.228-0.2270.5650.314-0.261-0.1330.0160.6370.6280.6080.480-0.2270.073-0.680-0.727-0.6160.536-0.205-0.1070.0950.8970.3340.851-0.094-0.0150.9940.9940.9940.9870.9771.0000.793-0.228-0.2270.9520.9700.8390.9710.9720.9740.9490.9350.9030.3680.4170.7960.9100.7480.9450.9480.9460.0100.6180.5960.5900.5210.9370.9300.8060.8670.4200.5310.150-0.1420.2230.2260.2910.9270.9230.933-0.227-0.2270.3720.8370.8180.846-0.5830.4130.7930.0040.3970.0100.582-0.4170.4010.5610.2030.1230.4120.3140.3140.7630.8060.0500.4380.424-0.0580.8980.4780.223-0.232-0.2160.9480.9350.9050.338-0.228-0.236-0.314-0.575-0.228-0.2270.224-0.227-0.227-0.2271.000
Gear Oil TemperatureLevel1 Avg. [°C]0.132-0.132-0.1310.6550.318-0.061-0.1450.0580.2990.2900.3180.205-0.1320.121-0.573-0.615-0.5510.552-0.0450.1150.1830.7980.3290.697-0.127-0.0150.7900.7880.7890.7910.7890.7931.000-0.132-0.1310.7770.7930.7250.7720.7730.7760.7370.7190.7160.3240.4920.7060.7330.5900.7130.7180.7140.0200.2730.2610.2700.2170.6860.6850.5500.6610.3580.4220.104-0.0790.1260.1180.1700.7360.7400.747-0.132-0.1320.4160.6790.6690.687-0.6820.5000.4870.2290.4780.0700.685-0.4850.4880.2890.1930.2110.4590.3180.3180.6450.5050.2160.3640.2610.0290.6680.3670.128-0.138-0.1220.7360.7200.7190.298-0.132-0.145-0.094-0.673-0.132-0.1320.129-0.132-0.132-0.1321.000
Generator 1 hours [h]-1.0001.0001.000-0.3300.0360.7750.2550.013-0.041-0.059-0.026-0.0681.0000.2420.2010.2370.193-0.2230.7190.5760.578-0.0990.4710.0220.004-0.011-0.207-0.223-0.222-0.226-0.243-0.228-0.1321.0001.000-0.259-0.1660.040-0.173-0.178-0.176-0.208-0.222-0.189-0.1480.3260.100-0.067-0.206-0.199-0.200-0.198-0.018-0.045-0.032-0.052-0.027-0.217-0.231-0.135-0.248-0.146-0.173-0.003-0.032-0.122-0.186-0.161-0.074-0.071-0.1481.0001.0000.0700.0640.0510.0430.313-0.201-0.110-0.124-0.2070.070-0.3040.235-0.185-0.021-0.061-0.1980.4250.0360.036-0.231-0.123-0.159-0.150-0.0510.077-0.261-0.099-0.9990.9940.995-0.208-0.221-0.191-0.1451.0000.9870.6860.3091.0001.000-0.9991.0001.0001.0001.000
Generator 2 hours [h]-1.0001.0001.000-0.3290.0390.7760.2550.013-0.041-0.059-0.026-0.0681.0000.2430.2000.2360.192-0.2220.7200.5770.579-0.0990.4710.0230.003-0.011-0.206-0.222-0.221-0.225-0.242-0.227-0.1311.0001.000-0.258-0.1660.041-0.172-0.177-0.176-0.207-0.221-0.188-0.1470.3270.100-0.066-0.205-0.198-0.198-0.197-0.018-0.045-0.032-0.052-0.027-0.216-0.230-0.134-0.246-0.146-0.172-0.003-0.032-0.122-0.186-0.161-0.073-0.070-0.1471.0001.0000.0710.0640.0510.0430.311-0.201-0.109-0.124-0.2070.070-0.3030.234-0.184-0.021-0.061-0.1980.4260.0390.039-0.230-0.123-0.159-0.149-0.0510.077-0.260-0.098-0.9990.9940.995-0.207-0.220-0.190-0.1441.0000.9870.6870.3071.0001.000-0.9991.0001.0001.0001.000
Generator Bearing Temp. Avg. [°C]0.259-0.259-0.2580.5640.115-0.267-0.1430.0260.6000.5960.5670.470-0.2590.053-0.625-0.677-0.5650.553-0.221-0.1190.0980.9090.3550.857-0.076-0.0100.9490.9500.9450.9420.9300.9520.777-0.259-0.2581.0000.9720.8460.9640.9660.9670.8970.8880.8530.3440.4070.8250.9040.7000.8920.8950.8920.0160.5840.5660.5430.4930.8840.8830.7470.8250.4200.5330.136-0.1180.2140.2150.2760.9160.9150.925-0.259-0.2600.3710.8530.8260.860-0.5620.4010.7500.0190.3900.0030.561-0.4120.3870.5100.2200.1260.4210.1150.1150.7250.7650.0480.4340.401-0.0270.8470.4740.257-0.263-0.2480.8960.8880.8540.313-0.259-0.273-0.324-0.554-0.258-0.2600.258-0.259-0.259-0.2591.000
Generator Bearing2 Temp. Avg. [°C]0.167-0.166-0.1660.5620.116-0.198-0.1210.0270.6190.6140.5870.479-0.1670.085-0.653-0.701-0.5880.548-0.152-0.0520.1740.9380.4250.895-0.075-0.0140.9730.9700.9660.9640.9480.9700.793-0.166-0.1660.9721.0000.8880.9880.9880.9900.9220.9100.8790.3570.4810.8680.9350.7210.9120.9150.9130.0120.6000.5820.5580.5060.9050.9020.7680.8420.4350.5500.146-0.1290.2100.2060.2780.9470.9460.953-0.167-0.1670.4170.8830.8590.890-0.5680.3990.7760.0100.3900.0120.567-0.4080.3900.5300.2180.1050.4890.1160.1160.7440.7850.0400.4510.413-0.0220.8620.4950.163-0.171-0.1560.9210.9100.8800.326-0.167-0.180-0.251-0.561-0.166-0.1670.164-0.167-0.167-0.1671.000
Generator CoolingWater Temp. Avg. [°C]-0.0410.0400.0410.5150.3150.071-0.0950.0470.4780.4730.4570.3670.0410.134-0.517-0.561-0.4640.4790.0870.1780.3560.8520.5950.955-0.106-0.0100.8530.8440.8380.8370.8090.8390.7250.0400.0410.8460.8881.0000.8860.8840.8860.7890.7830.7510.2860.6030.8840.9250.5710.7880.7920.7890.0080.4580.4450.4370.3760.7640.7620.6380.7140.3040.4540.040-0.0230.1560.1470.2190.9320.9430.9380.0410.0400.4940.8880.8740.894-0.5360.3880.703-0.0610.3670.0120.536-0.3880.3870.3780.1730.0660.6640.3150.3150.5850.717-0.0480.3120.3770.0330.7170.384-0.0440.0360.0530.7900.7830.7540.2640.0400.0220.029-0.5260.0400.040-0.0430.0410.0410.0411.000
Generator Phase1 Temp. Avg. [°C]0.173-0.173-0.1720.5450.131-0.209-0.1140.0240.6440.6380.6050.499-0.1730.080-0.634-0.685-0.5710.551-0.162-0.0740.1640.9250.4300.908-0.087-0.0130.9760.9740.9700.9640.9460.9710.772-0.173-0.1720.9640.9880.8861.0000.9990.9990.9220.9130.8780.3390.4640.8570.9490.7240.9180.9210.9190.0090.6270.6050.5790.5290.9190.9150.7860.8430.4480.5580.170-0.1490.2130.2110.2800.9610.9580.963-0.173-0.1730.3930.8850.8620.892-0.5400.3850.789-0.0080.369-0.0120.537-0.3930.3580.5530.2100.0850.4740.1310.1310.7480.8040.0230.4660.427-0.0350.8740.5110.169-0.177-0.1630.9210.9130.8780.307-0.173-0.185-0.265-0.531-0.172-0.1730.170-0.173-0.173-0.1731.000
Generator Phase2 Temp. Avg. [°C]0.178-0.178-0.1770.5470.160-0.215-0.1160.0230.6430.6370.6030.499-0.1780.078-0.634-0.686-0.5700.551-0.168-0.0790.1580.9260.4240.904-0.085-0.0130.9770.9750.9700.9650.9470.9720.773-0.178-0.1770.9660.9880.8840.9991.0000.9990.9220.9130.8780.3410.4600.8560.9460.7230.9180.9210.9190.0100.6260.6040.5780.5280.9180.9140.7840.8440.4430.5550.165-0.1440.2130.2110.2800.9580.9560.961-0.178-0.1780.3900.8840.8610.891-0.5420.3870.789-0.0090.373-0.0140.539-0.3970.3620.5510.2110.0880.4690.1600.1600.7470.8040.0230.4610.427-0.0340.8740.5060.174-0.183-0.1680.9210.9130.8780.309-0.178-0.190-0.271-0.533-0.178-0.1780.175-0.178-0.178-0.1781.000
Generator Phase3 Temp. Avg. [°C]0.177-0.176-0.1760.5500.156-0.214-0.1180.0220.6410.6350.6010.497-0.1770.079-0.638-0.690-0.5740.553-0.166-0.0760.1570.9270.4210.904-0.085-0.0130.9790.9770.9720.9670.9490.9740.776-0.176-0.1760.9670.9900.8860.9990.9991.0000.9250.9160.8800.3440.4620.8560.9460.7260.9220.9250.9220.0100.6230.6010.5770.5260.9190.9150.7840.8470.4370.5510.160-0.1400.2120.2100.2790.9580.9560.962-0.177-0.1770.3910.8850.8620.892-0.5480.3910.790-0.0060.377-0.0120.545-0.4020.3690.5490.2140.0930.4700.1560.1560.7480.8040.0260.4550.427-0.0350.8750.5010.173-0.181-0.1670.9240.9160.8800.313-0.177-0.189-0.270-0.539-0.176-0.1770.174-0.177-0.177-0.1771.000
Generator RPM Avg. [RPM]0.208-0.208-0.2070.5070.061-0.275-0.1100.0030.6920.6780.6800.514-0.2080.068-0.714-0.757-0.6490.541-0.203-0.1120.0510.8450.2710.794-0.103-0.0410.9590.9550.9620.9640.9560.9490.737-0.208-0.2070.8970.9220.7890.9220.9220.9251.0000.9670.9530.4010.3740.7230.8750.7740.9710.9710.9720.0070.6680.6510.6290.5700.9520.9420.8310.8790.4440.5330.181-0.1710.2300.2250.2930.8920.8860.898-0.208-0.2080.3190.7650.7480.773-0.5570.4230.7890.0420.4100.0720.558-0.4100.4270.6190.2450.1070.3540.0610.0610.7930.8000.0860.4590.414-0.0490.9120.4970.204-0.211-0.1960.9960.9680.9550.356-0.208-0.214-0.328-0.549-0.208-0.2080.205-0.208-0.208-0.2081.000
Generator RPM Max. [RPM]0.221-0.222-0.2210.4710.090-0.287-0.1250.0150.6960.7040.6200.592-0.2220.035-0.656-0.740-0.5570.629-0.209-0.1270.0490.8300.2760.787-0.080-0.0300.9440.9440.9470.9420.9280.9350.719-0.222-0.2210.8880.9100.7830.9130.9130.9160.9671.0000.8860.5180.3770.7270.8620.7170.9650.9650.9640.0050.6750.6740.5710.6180.9430.9640.7450.9220.4300.6100.102-0.0660.2250.2280.2930.8810.8750.889-0.222-0.2220.3060.7710.7510.779-0.5260.3760.7910.0120.368-0.0270.524-0.4000.3850.5740.3160.1040.3500.0900.0900.7290.8100.0660.4260.4570.0250.8990.4930.218-0.227-0.2120.9630.9990.8870.474-0.222-0.231-0.328-0.514-0.222-0.2220.218-0.222-0.222-0.2221.000
Generator RPM Min. [RPM]0.188-0.189-0.1880.5080.296-0.252-0.076-0.0050.6440.5990.7050.373-0.1890.101-0.718-0.703-0.7040.440-0.197-0.1010.0470.8080.2520.753-0.110-0.0470.9130.9080.9160.9270.9250.9030.716-0.189-0.1880.8530.8790.7510.8780.8780.8800.9530.8861.0000.2350.3550.6790.8270.7590.9170.9180.919-0.0110.6160.5760.6510.4740.9040.8670.8690.7850.4170.4530.248-0.2470.2220.2100.2750.8490.8440.854-0.189-0.1890.3170.7220.7100.730-0.5590.4330.7550.0560.4180.0950.559-0.4110.4330.5820.1530.1070.3330.2960.2960.7980.7550.0640.4580.360-0.1110.8670.4620.185-0.191-0.1760.9580.8870.9960.195-0.189-0.189-0.319-0.554-0.189-0.1890.185-0.189-0.189-0.1891.000
Generator RPM StdDev [RPM]0.148-0.148-0.1470.2790.190-0.156-0.0860.0920.2330.2900.0880.373-0.1480.005-0.451-0.524-0.2930.378-0.091-0.003-0.0840.303-0.0260.2600.021-0.0170.3670.3700.3710.3450.3430.3680.324-0.148-0.1470.3440.3570.2860.3390.3410.3440.4010.5180.2351.0000.1480.2780.2900.2240.3920.3900.3870.0070.2220.2660.0540.3290.3320.4150.0710.5180.1440.454-0.2720.2610.0670.0860.1040.3010.3000.318-0.148-0.1480.0980.2540.2710.262-0.3030.2330.2100.1530.257-0.0510.302-0.2890.2660.2320.3560.1510.0530.1900.1900.2320.1730.2500.0860.1920.1810.3120.1600.146-0.151-0.1490.3850.5170.2350.974-0.148-0.159-0.144-0.290-0.148-0.1480.146-0.148-0.148-0.1481.000
Generator SlipRing Temp. Avg. [°C]-0.3280.3260.3270.2920.3140.418-0.0300.0650.2130.2010.2170.1540.3280.154-0.156-0.186-0.1400.2780.3910.4680.7620.5160.6500.588-0.0470.0160.4390.4240.4180.4150.3780.4170.4920.3260.3270.4070.4810.6030.4640.4600.4620.3740.3770.3550.1481.0000.6580.5210.2120.3760.3790.374-0.0000.1900.1880.1850.1100.3200.3240.2560.2960.0910.205-0.0620.0790.0340.0090.0630.5220.5310.5070.3280.3280.6150.5750.5530.577-0.2620.2270.307-0.0440.2180.0020.263-0.2300.2160.1140.080-0.0020.8190.3140.3140.1890.337-0.0670.0920.2000.0850.2780.161-0.3300.3240.3310.3690.3780.3540.1320.3260.3050.406-0.2520.3240.328-0.3300.3280.3280.3281.000
Grid Busbar Temp. Avg. [°C]-0.1000.1000.1000.4900.3140.125-0.0960.0610.4740.4760.4380.3920.1000.134-0.463-0.514-0.4050.4580.1480.2230.4500.8700.6720.894-0.069-0.0090.8090.8000.7920.7820.7510.7960.7060.1000.1000.8250.8680.8840.8570.8560.8560.7230.7270.6790.2780.6581.0000.8660.5290.7260.7300.7250.0070.4570.4460.4170.3840.7030.7080.5820.6650.3170.4440.066-0.0530.1390.1310.2070.8720.8760.8580.1000.1000.5430.9440.9200.947-0.4630.3210.637-0.0480.3090.0000.462-0.3270.3030.3730.1820.0300.7360.3140.3140.5320.654-0.0410.3240.3440.0340.6530.385-0.1030.0950.1100.7220.7270.6810.2520.0990.0770.075-0.4580.0990.100-0.1010.1000.1000.1001.000
Grid InverterPhase1 Temp. Avg. [°C]0.067-0.067-0.0670.4880.314-0.079-0.0900.0350.6140.6030.5840.466-0.0670.091-0.593-0.655-0.5390.529-0.0390.0390.2670.8960.5370.964-0.104-0.0140.9250.9170.9150.9060.8790.9100.733-0.067-0.0660.9040.9350.9250.9490.9460.9460.8750.8620.8270.2900.5210.8661.0000.7250.8740.8770.8750.0080.5970.5770.5530.5100.8850.8750.7680.7890.4620.5150.242-0.2200.1890.1790.2520.9860.9830.974-0.067-0.0670.4350.8850.8610.891-0.4960.3270.7240.0280.3020.0000.494-0.3210.2960.5660.1820.0380.5630.3140.3140.7320.7490.0520.4820.388-0.0300.8370.5150.064-0.072-0.0560.8710.8620.8280.258-0.067-0.083-0.132-0.491-0.068-0.0670.065-0.067-0.067-0.0671.000
Grid Production CosPhi Avg.0.203-0.206-0.2060.4180.092-0.243-0.0610.0110.5190.4910.5300.297-0.2030.094-0.749-0.765-0.7420.364-0.179-0.081-0.0090.6890.1380.606-0.062-0.0170.7590.7480.7620.7600.7550.7480.590-0.206-0.2050.7000.7210.5710.7240.7230.7260.7740.7170.7590.2240.2120.5290.7251.0000.7900.7890.7900.0010.5050.4460.4940.4330.7710.7320.7180.7150.4550.2860.420-0.4520.1560.1370.1940.7130.6980.703-0.203-0.2030.2320.5400.5370.547-0.4680.3070.4890.3490.2990.0340.470-0.3080.3210.6550.1460.1330.2120.0920.0920.8490.4810.3530.4870.263-0.2190.7410.4210.200-0.210-0.1990.7700.7180.7620.200-0.206-0.206-0.296-0.465-0.209-0.2040.200-0.203-0.203-0.2031.000
Grid Production CurrentPhase1 Avg. [A]0.198-0.199-0.1980.4590.039-0.264-0.1220.0110.7000.6920.6610.537-0.1980.077-0.691-0.745-0.6200.558-0.190-0.1050.0700.8420.2640.788-0.093-0.0380.9550.9510.9580.9540.9410.9450.713-0.199-0.1980.8920.9120.7880.9180.9180.9220.9710.9650.9170.3920.3760.7260.8740.7901.0000.9990.9990.0070.6840.6640.6280.5950.9440.9400.8030.9020.3890.5140.128-0.1180.2210.2190.2860.8900.8840.897-0.198-0.1980.3090.7750.7570.783-0.5180.4160.7940.0260.4080.0070.517-0.4300.4310.6280.2730.1240.3730.0390.0390.7500.8130.0740.4000.439-0.0520.9000.4490.194-0.203-0.1870.9690.9650.9200.358-0.199-0.207-0.318-0.501-0.199-0.1980.195-0.198-0.198-0.1981.000
Grid Production CurrentPhase2 Avg. [A]0.198-0.200-0.1990.4690.035-0.260-0.1240.0110.6920.6840.6540.531-0.1990.077-0.693-0.747-0.6230.560-0.188-0.1010.0720.8450.2680.793-0.097-0.0380.9570.9540.9610.9570.9450.9480.718-0.200-0.1980.8950.9150.7920.9210.9210.9250.9710.9650.9180.3900.3790.7300.8770.7890.9991.0000.9990.0080.6750.6550.6220.5860.9450.9410.8050.9020.3910.5160.130-0.1200.2200.2180.2860.8940.8870.900-0.199-0.1990.3140.7790.7610.787-0.5280.4170.7960.0270.4080.0070.527-0.4290.4310.6200.2670.1250.3770.0350.0350.7540.8140.0730.4010.440-0.0520.9010.4500.195-0.204-0.1880.9700.9650.9210.357-0.199-0.207-0.315-0.513-0.200-0.1990.195-0.199-0.199-0.1991.000
Grid Production CurrentPhase3 Avg. [A]0.197-0.198-0.1970.4640.040-0.262-0.1220.0090.6950.6860.6570.530-0.1970.076-0.693-0.746-0.6240.558-0.189-0.1050.0700.8420.2650.789-0.096-0.0370.9560.9520.9590.9560.9430.9460.714-0.198-0.1970.8920.9130.7890.9190.9190.9220.9720.9640.9190.3870.3740.7250.8750.7900.9990.9991.0000.0080.6780.6580.6250.5890.9450.9410.8060.9020.3900.5130.132-0.1230.2210.2180.2860.8920.8850.898-0.197-0.1970.3100.7750.7580.784-0.5250.4180.7960.0280.4090.0090.524-0.4310.4320.6240.2670.1250.3730.0400.0400.7550.8140.0750.4000.440-0.0530.9020.4490.193-0.202-0.1860.9700.9640.9220.354-0.198-0.206-0.318-0.509-0.198-0.1970.194-0.197-0.197-0.1971.000
Grid Production Frequency Avg. [Hz]0.018-0.018-0.0180.0250.3140.003-0.0150.003-0.0020.001-0.0210.008-0.018-0.006-0.003-0.0170.0110.013-0.0010.0080.0000.011-0.0010.006-0.029-0.0970.0090.0080.0090.0100.0110.0100.020-0.018-0.0180.0160.0120.0080.0090.0100.0100.0070.005-0.0110.007-0.0000.0070.0080.0010.0070.0080.0081.000-0.0050.000-0.004-0.004-0.0050.004-0.0160.011-0.0050.004-0.0200.0100.0300.0350.0330.0070.0070.009-0.018-0.0180.0070.0060.0060.006-0.0120.0210.0000.0080.0370.0680.0280.0020.0210.0030.0110.0090.0030.3140.314-0.0080.0010.010-0.007-0.0110.0020.002-0.0080.018-0.018-0.0170.0070.004-0.0110.005-0.018-0.0170.007-0.015-0.018-0.0180.018-0.018-0.018-0.0181.000
Grid Production PossiblePower Avg. [W]0.044-0.045-0.045-0.0970.092-0.2340.038-0.0560.9940.9750.8840.794-0.045-0.059-0.270-0.312-0.2000.245-0.165-0.2710.0830.5000.2330.5330.162-0.0080.6240.6240.6280.6100.5930.6180.273-0.045-0.0450.5840.6000.4580.6270.6260.6230.6680.6750.6160.2220.1900.4570.5970.5050.6840.6750.678-0.0051.0000.9680.8690.7820.6900.6830.6580.5600.3150.3840.214-0.2050.2270.2310.2810.6090.5930.591-0.045-0.045-0.0050.5370.4840.5330.126-0.1120.686-0.285-0.057-0.079-0.1300.038-0.0850.7600.138-0.1150.1660.0920.0920.4230.713-0.2120.3340.390-0.1200.6400.4010.045-0.050-0.0400.6580.6740.6060.171-0.045-0.051-0.3270.121-0.046-0.0450.046-0.045-0.045-0.0451.000
Grid Production PossiblePower Max. [W]0.032-0.032-0.032-0.0970.072-0.2290.019-0.0480.9580.9680.8230.846-0.033-0.063-0.229-0.304-0.1380.301-0.149-0.2610.0840.4840.2360.5170.135-0.0030.6000.6010.6030.5880.5690.5960.261-0.032-0.0320.5660.5820.4450.6050.6040.6010.6510.6740.5760.2660.1880.4460.5770.4460.6640.6550.6580.0000.9681.0000.8060.8350.6650.6800.6030.5770.3210.4440.150-0.1400.2260.2320.2840.5880.5730.569-0.033-0.032-0.0050.5250.4690.5200.150-0.0950.679-0.299-0.051-0.002-0.1370.049-0.0760.7370.214-0.1320.1730.0720.0720.3830.707-0.2220.3290.393-0.0490.6170.4160.032-0.035-0.0270.6400.6730.5690.213-0.032-0.040-0.3120.147-0.033-0.0320.034-0.033-0.032-0.0321.000
Grid Production PossiblePower Min. [W]0.051-0.052-0.0520.0090.042-0.2090.027-0.0800.8700.8070.9220.540-0.051-0.010-0.302-0.267-0.3100.007-0.167-0.2410.0800.4750.2100.4950.158-0.0140.5920.5870.6000.5800.5700.5900.270-0.052-0.0520.5430.5580.4370.5790.5780.5770.6290.5710.6510.0540.1850.4170.5530.4940.6280.6220.625-0.0040.8690.8061.0000.5270.6330.5810.7790.4200.1460.1660.223-0.2890.2030.2050.2450.5630.5500.549-0.051-0.0510.0450.4990.4520.4960.037-0.0190.652-0.3350.0390.096-0.028-0.0150.0120.698-0.053-0.0860.1740.0420.0420.3990.668-0.2760.2200.308-0.2880.5920.2450.051-0.053-0.0430.6220.5710.6460.019-0.052-0.050-0.2920.025-0.053-0.0510.052-0.051-0.051-0.0511.000
Grid Production PossiblePower StdDev [W]0.027-0.027-0.027-0.1060.150-0.2120.037-0.0040.7680.8090.5620.790-0.028-0.034-0.288-0.402-0.1560.349-0.113-0.2220.0330.4140.1820.451-0.1210.0020.5260.5280.5310.5170.5040.5210.217-0.027-0.0270.4930.5060.3760.5290.5280.5260.5700.6180.4740.3290.1100.3840.5100.4330.5950.5860.589-0.0040.7820.8350.5271.0000.5980.6360.4690.6610.3410.4600.139-0.1090.2040.2050.2640.5220.5060.501-0.028-0.0280.0300.4600.4260.4550.104-0.0370.590-0.191-0.086-0.105-0.1100.061-0.0880.7060.325-0.1260.1240.1500.1500.3870.590-0.1170.3300.371-0.0030.5480.4120.026-0.028-0.0250.5620.6160.4700.281-0.027-0.037-0.2820.118-0.027-0.0280.027-0.028-0.028-0.0271.000
Grid Production Power Avg. [W]0.217-0.217-0.2160.4440.038-0.295-0.095-0.0230.7050.6920.6680.528-0.2170.019-0.670-0.719-0.6060.534-0.220-0.1810.0400.8260.3120.799-0.124-0.0210.9480.9450.9520.9480.9380.9370.686-0.217-0.2160.8840.9050.7640.9190.9180.9190.9520.9430.9040.3320.3200.7030.8850.7710.9440.9450.945-0.0050.6900.6650.6330.5981.0000.9840.8710.8650.5200.5760.310-0.2830.2320.2300.2950.8990.8880.896-0.217-0.2170.2900.7580.7340.765-0.4930.2820.7950.0220.250-0.0150.488-0.2710.2600.6450.1730.0400.3140.0380.0380.8310.8130.0780.5370.440-0.0680.9560.5700.214-0.221-0.2060.9500.9430.9060.306-0.217-0.223-0.352-0.492-0.216-0.2170.215-0.217-0.217-0.2171.000
Grid Production Power Max. [W]0.231-0.231-0.2300.4420.322-0.309-0.111-0.0090.6960.7040.6210.583-0.2320.002-0.644-0.726-0.5530.613-0.227-0.1870.0320.8210.3080.794-0.118-0.0160.9410.9400.9440.9370.9250.9300.685-0.231-0.2300.8830.9020.7620.9150.9140.9150.9420.9640.8670.4150.3240.7080.8750.7320.9400.9410.9410.0040.6830.6800.5810.6360.9841.0000.8060.9050.5230.6400.249-0.2030.2310.2330.2980.8900.8800.890-0.232-0.2320.2890.7600.7360.767-0.4880.2780.7910.0190.247-0.0450.484-0.2770.2570.6130.2500.0460.3090.3220.3220.7910.8110.0750.5280.455-0.0020.9400.5770.228-0.236-0.2220.9380.9640.8690.386-0.231-0.240-0.355-0.485-0.231-0.2320.229-0.232-0.232-0.2321.000
Grid Production Power Min. [W]0.134-0.135-0.1340.3260.116-0.234-0.042-0.0660.6730.6210.7420.380-0.1350.037-0.596-0.557-0.6250.215-0.182-0.1810.0620.7040.2910.686-0.120-0.0230.8160.8080.8230.8180.8140.8060.550-0.135-0.1340.7470.7680.6380.7860.7840.7840.8310.7450.8690.0710.2560.5820.7680.7180.8030.8050.806-0.0160.6580.6030.7790.4690.8710.8061.0000.6220.3610.3000.444-0.4920.2080.1990.2540.7750.7620.761-0.135-0.1350.2290.6480.6190.650-0.3610.2020.706-0.0600.1670.0740.359-0.1540.1710.663-0.026-0.0150.2680.1160.1160.7610.713-0.0370.4550.313-0.2850.8330.4230.132-0.135-0.1220.8280.7460.8710.048-0.134-0.133-0.311-0.370-0.134-0.1350.133-0.135-0.135-0.1351.000
Grid Production Power StdDev [W]0.247-0.248-0.2470.4950.194-0.295-0.1440.0400.5700.6060.4580.570-0.2470.039-0.692-0.811-0.5660.645-0.206-0.123-0.0180.7670.1940.709-0.104-0.0280.8740.8740.8780.8720.8620.8670.661-0.248-0.2460.8250.8420.7140.8430.8440.8470.8790.9220.7850.5180.2960.6650.7890.7150.9020.9020.9020.0110.5600.5770.4200.6610.8650.9050.6221.0000.4210.5970.053-0.0140.2090.2120.2750.8070.8020.820-0.247-0.2470.3110.7030.6990.713-0.5480.4110.7110.0910.397-0.0360.545-0.4310.4170.5220.3910.1330.2860.1940.1940.7090.7080.1460.4040.4330.0430.8220.4660.243-0.251-0.2390.8800.9210.7900.489-0.247-0.259-0.332-0.530-0.248-0.2470.244-0.247-0.247-0.2471.000
Grid Production ReactivePower Avg. [W]0.145-0.146-0.1460.2520.099-0.1720.0040.0230.3210.3160.2910.243-0.145-0.008-0.414-0.447-0.3540.470-0.115-0.082-0.0100.3970.1940.406-0.0760.0210.4330.4340.4310.4490.4580.4200.358-0.146-0.1460.4200.4350.3040.4480.4430.4370.4440.4300.4170.1440.0910.3170.4620.4550.3890.3910.390-0.0050.3150.3210.1460.3410.5200.5230.3610.4211.0000.6940.519-0.3590.1150.1010.1450.4610.4390.419-0.145-0.1450.1140.3090.2970.310-0.2350.0100.2460.352-0.027-0.0000.2280.036-0.0660.3860.110-0.0560.0780.0990.0990.6040.2410.3610.9420.1520.1960.5090.8910.146-0.150-0.1470.4440.4290.4100.116-0.146-0.147-0.207-0.257-0.148-0.1450.147-0.145-0.145-0.1451.000
Grid Production ReactivePower Max. [W]0.173-0.173-0.1720.2960.036-0.211-0.0610.0600.3900.4220.2770.427-0.173-0.020-0.362-0.438-0.2170.666-0.149-0.1100.0050.4540.2270.504-0.0580.0200.5380.5460.5350.5460.5500.5310.422-0.173-0.1720.5330.5500.4540.5580.5550.5510.5330.6100.4530.4540.2050.4440.5150.2860.5140.5160.5130.0040.3840.4440.1660.4600.5760.6400.3000.5970.6941.0000.0420.1190.1420.1530.2030.5450.5350.529-0.173-0.1730.1730.4610.4490.466-0.2720.0910.5260.0160.068-0.0390.275-0.0830.0440.2770.326-0.0220.1680.0360.0360.4350.5070.0300.6330.3400.3340.5550.7120.174-0.176-0.1720.5320.6080.4480.432-0.173-0.183-0.214-0.277-0.173-0.1730.175-0.173-0.173-0.1731.000
Grid Production ReactivePower Min. [W]0.003-0.003-0.003-0.0350.035-0.0650.093-0.0760.2170.1700.2790.024-0.004-0.062-0.205-0.185-0.2920.054-0.038-0.112-0.0170.1810.1410.156-0.0650.0120.1630.1560.1650.1690.1680.1500.104-0.003-0.0030.1360.1460.0400.1700.1650.1600.1810.1020.248-0.272-0.0620.0660.2420.4200.1280.1300.132-0.0200.2140.1500.2230.1390.3100.2490.4440.0530.5190.0421.000-0.8810.1060.0750.0890.2040.1810.156-0.004-0.004-0.0270.0630.0440.0580.014-0.253-0.0560.400-0.299-0.037-0.0270.306-0.3240.373-0.190-0.162-0.0540.0350.0350.534-0.0320.3470.591-0.058-0.2250.3040.4180.004-0.008-0.0040.1780.1020.243-0.288-0.0030.003-0.135-0.021-0.003-0.0030.005-0.004-0.004-0.0041.000
Grid Production ReactivePower StdDev [W]0.032-0.032-0.0320.0340.0620.033-0.1020.079-0.208-0.153-0.3010.025-0.0320.0350.2820.2230.3830.1250.0090.0890.024-0.158-0.111-0.1300.062-0.009-0.152-0.140-0.158-0.153-0.160-0.142-0.079-0.032-0.032-0.118-0.129-0.023-0.149-0.144-0.140-0.171-0.066-0.2470.2610.079-0.053-0.220-0.452-0.118-0.120-0.1230.010-0.205-0.140-0.289-0.109-0.283-0.203-0.492-0.014-0.3590.119-0.8811.000-0.059-0.027-0.042-0.180-0.157-0.133-0.032-0.0320.022-0.049-0.038-0.044-0.0270.2110.064-0.3760.253-0.0550.027-0.2840.278-0.4280.2390.1640.0630.0620.062-0.5380.062-0.325-0.4590.1330.353-0.272-0.2600.031-0.031-0.032-0.167-0.067-0.2450.265-0.032-0.0400.1170.008-0.032-0.0320.031-0.032-0.032-0.0321.000
Grid Production VoltagePhase1 Avg. [V]0.121-0.122-0.1220.0700.147-0.153-0.0330.0020.2290.2250.2110.174-0.1210.002-0.142-0.151-0.1170.094-0.141-0.121-0.0120.1550.0300.1690.002-0.0180.2210.2220.2240.2240.2280.2230.126-0.122-0.1220.2140.2100.1560.2130.2130.2120.2300.2250.2220.0670.0340.1390.1890.1560.2210.2200.2210.0300.2270.2260.2030.2040.2320.2310.2080.2090.1150.1420.106-0.0591.0000.9770.9750.2010.1980.203-0.121-0.1210.0550.1690.1560.168-0.0710.0520.223-0.0550.0570.0160.073-0.0530.0500.1770.050-0.0140.0270.1470.1470.1690.225-0.0300.1140.139-0.0220.2300.1420.120-0.125-0.1190.2310.2260.2190.057-0.122-0.114-0.175-0.073-0.123-0.1210.120-0.121-0.121-0.1211.000
Grid Production VoltagePhase2 Avg. [V]0.185-0.186-0.1860.0800.147-0.190-0.063-0.0090.2300.2360.1980.203-0.185-0.023-0.123-0.137-0.0930.098-0.159-0.144-0.0510.1450.0090.1610.015-0.0150.2210.2240.2260.2240.2290.2260.118-0.186-0.1860.2150.2060.1470.2110.2110.2100.2250.2280.2100.0860.0090.1310.1790.1370.2190.2180.2180.0350.2310.2320.2050.2050.2300.2330.1990.2120.1010.1530.075-0.0270.9771.0000.9820.1940.1910.201-0.185-0.1850.0490.1620.1490.164-0.0750.0430.235-0.0900.0520.0010.077-0.0520.0440.1530.052-0.0090.0090.1470.1470.1460.239-0.0580.0990.148-0.0240.2290.1330.184-0.188-0.1820.2260.2280.2080.077-0.186-0.175-0.193-0.078-0.187-0.1850.184-0.185-0.185-0.1851.000
Grid Production VoltagePhase3 Avg. [V]0.160-0.161-0.1610.1010.147-0.159-0.057-0.0080.2810.2900.2430.247-0.160-0.003-0.179-0.195-0.1390.133-0.125-0.106-0.0020.2090.0720.235-0.009-0.0180.2880.2900.2920.2910.2950.2910.170-0.161-0.1610.2760.2780.2190.2800.2800.2790.2930.2930.2750.1040.0630.2070.2520.1940.2860.2860.2860.0330.2810.2840.2450.2640.2950.2980.2540.2750.1450.2030.089-0.0420.9750.9821.0000.2680.2650.275-0.160-0.1600.1050.2360.2240.237-0.1010.0640.306-0.1010.0660.0070.102-0.0640.0610.2110.074-0.0120.0740.1470.1470.2020.304-0.0680.1440.177-0.0250.2920.1800.159-0.163-0.1570.2940.2930.2730.092-0.161-0.156-0.166-0.102-0.162-0.1600.159-0.160-0.160-0.1601.000
Grid RotorInvPhase1 Temp. Avg. [°C]0.073-0.074-0.0730.4960.314-0.088-0.0920.0340.6270.6140.5960.468-0.0730.092-0.600-0.649-0.5400.518-0.0480.0280.2630.8860.5330.969-0.108-0.0130.9410.9350.9330.9270.9050.9270.736-0.074-0.0730.9160.9470.9320.9610.9580.9580.8920.8810.8490.3010.5220.8720.9860.7130.8900.8940.8920.0070.6090.5880.5630.5220.8990.8900.7750.8070.4610.5450.204-0.1800.2010.1940.2681.0000.9950.985-0.073-0.0740.4390.8970.8740.903-0.5020.3320.771-0.0220.306-0.0030.500-0.3260.3010.5480.1770.0410.5630.3140.3140.7240.7890.0070.4780.417-0.0230.8500.5250.070-0.079-0.0630.8910.8810.8490.271-0.074-0.089-0.143-0.497-0.075-0.0740.071-0.073-0.074-0.0741.000
Grid RotorInvPhase2 Temp. Avg. [°C]0.070-0.071-0.0700.5060.314-0.080-0.0960.0350.6110.6000.5810.459-0.0700.094-0.593-0.642-0.5340.518-0.0410.0380.2660.8870.5350.971-0.106-0.0110.9370.9310.9280.9230.8990.9230.740-0.071-0.0700.9150.9460.9430.9580.9560.9560.8860.8750.8440.3000.5310.8760.9830.6980.8840.8870.8850.0070.5930.5730.5500.5060.8880.8800.7620.8020.4390.5350.181-0.1570.1980.1910.2650.9951.0000.987-0.070-0.0700.4450.8990.8770.905-0.5120.3470.768-0.0270.322-0.0020.510-0.3430.3190.5260.1800.0490.5710.3140.3140.7110.785-0.0000.4540.415-0.0170.8390.5060.067-0.075-0.0600.8840.8750.8440.271-0.071-0.086-0.132-0.506-0.071-0.0700.068-0.070-0.070-0.0701.000
Grid RotorInvPhase3 Temp. Avg. [°C]0.147-0.148-0.1470.5260.315-0.135-0.1130.0270.6080.6000.5760.462-0.1480.070-0.610-0.661-0.5490.530-0.091-0.0040.2190.8910.4880.953-0.106-0.0090.9460.9410.9380.9330.9110.9330.747-0.148-0.1470.9250.9530.9380.9630.9610.9620.8980.8890.8540.3180.5070.8580.9740.7030.8970.9000.8980.0090.5910.5690.5490.5010.8960.8900.7610.8200.4190.5290.156-0.1330.2030.2010.2750.9850.9871.000-0.148-0.1480.4430.8820.8660.890-0.5380.3740.775-0.0210.350-0.0050.536-0.3740.3520.5200.1880.0740.5300.3150.3150.7200.7910.0120.4330.418-0.0280.8550.4830.144-0.153-0.1370.8970.8890.8550.290-0.148-0.165-0.180-0.530-0.148-0.1480.145-0.148-0.148-0.1471.000
Grid ok hours [h]-1.0001.0001.000-0.3310.0360.7780.2530.013-0.041-0.060-0.025-0.0691.0000.2410.2000.2360.193-0.2230.7210.5800.582-0.0990.4720.0230.004-0.012-0.207-0.223-0.222-0.226-0.243-0.227-0.1321.0001.000-0.259-0.1670.041-0.173-0.178-0.177-0.208-0.222-0.189-0.1480.3280.100-0.067-0.203-0.198-0.199-0.197-0.018-0.045-0.033-0.051-0.028-0.217-0.232-0.135-0.247-0.145-0.173-0.004-0.032-0.121-0.185-0.160-0.073-0.070-0.1481.0001.0000.0700.0630.0500.0430.312-0.201-0.110-0.124-0.2060.070-0.3040.234-0.184-0.022-0.062-0.1980.4270.0360.036-0.232-0.124-0.159-0.148-0.0520.077-0.261-0.097-0.9990.9930.995-0.208-0.221-0.191-0.1441.0000.9880.6890.3080.9981.000-0.9991.0001.0001.0001.000
Grid on hours [h]-1.0001.0001.000-0.3310.0400.7770.2530.012-0.040-0.059-0.025-0.0681.0000.2410.2000.2360.193-0.2230.7210.5800.582-0.0990.4720.0230.004-0.012-0.207-0.223-0.222-0.226-0.243-0.227-0.1321.0001.000-0.260-0.1670.040-0.173-0.178-0.177-0.208-0.222-0.189-0.1480.3280.100-0.067-0.203-0.198-0.199-0.197-0.018-0.045-0.032-0.051-0.028-0.217-0.232-0.135-0.247-0.145-0.173-0.004-0.032-0.121-0.185-0.160-0.074-0.070-0.1481.0001.0000.0690.0630.0500.0420.312-0.201-0.110-0.124-0.2060.070-0.3040.234-0.184-0.022-0.062-0.1980.4260.0400.040-0.231-0.123-0.159-0.148-0.0520.077-0.261-0.097-0.9990.9930.995-0.208-0.221-0.191-0.1441.0000.9880.6890.3080.9981.000-0.9991.0001.0001.0001.000
HVTrafo AirOutlet Temp. Avg. [°C]-0.0690.0700.0700.4080.2120.200-0.0070.0110.0080.0130.035-0.0030.0700.158-0.290-0.308-0.2680.1980.2080.2940.4100.4130.4190.478-0.1410.0220.3860.3720.3740.3710.3570.3720.4160.0700.0710.3710.4170.4940.3930.3900.3910.3190.3060.3170.0980.6150.5430.4350.2320.3090.3140.3100.007-0.005-0.0050.0450.0300.2900.2890.2290.3110.1140.173-0.0270.0220.0550.0490.1050.4390.4450.4430.0700.0691.0000.4890.5390.505-0.4120.3280.2700.0100.2840.0630.416-0.2840.2820.0390.0290.0310.5760.2120.2120.2440.2620.0000.1200.1110.0490.2700.139-0.0730.0690.0730.3240.3050.3230.0900.0700.0450.229-0.4030.0700.069-0.0720.0700.0690.0691.000
HVTrafo Phase1 Temp. Avg. [°C]-0.0630.0630.0640.4420.3150.060-0.0890.0480.5520.5470.5100.4450.0630.120-0.445-0.499-0.3830.4540.0780.1260.3740.8480.6200.904-0.089-0.0030.8450.8400.8310.8200.7890.8370.6790.0640.0640.8530.8830.8880.8850.8840.8850.7650.7710.7220.2540.5750.9440.8850.5400.7750.7790.7750.0060.5370.5250.4990.4600.7580.7600.6480.7030.3090.4610.063-0.0490.1690.1620.2360.8970.8990.8820.0630.0630.4891.0000.9720.996-0.4290.2920.731-0.1490.270-0.0170.427-0.2930.2690.4220.1740.0180.6710.3150.3150.5380.752-0.1300.3200.3960.0030.7100.396-0.0660.0560.0750.7650.7700.7230.2270.0630.046-0.020-0.4220.0630.063-0.0650.0640.0630.0641.000
HVTrafo Phase2 Temp. Avg. [°C]-0.0500.0500.0510.4670.3160.076-0.0750.0610.5000.4960.4620.3940.0500.141-0.491-0.534-0.4270.4320.0980.1470.3260.8190.5800.879-0.108-0.0050.8270.8220.8130.8030.7770.8180.6690.0510.0510.8260.8590.8740.8620.8610.8620.7480.7510.7100.2710.5530.9200.8610.5370.7570.7610.7580.0060.4840.4690.4520.4260.7340.7360.6190.6990.2970.4490.044-0.0380.1560.1490.2240.8740.8770.8660.0500.0500.5390.9721.0000.978-0.4610.3270.706-0.1150.299-0.0190.459-0.3240.2980.3980.1650.0460.6400.3160.3160.5420.714-0.0930.3050.369-0.0020.6940.369-0.0540.0410.0590.7500.7520.7110.2470.0500.032-0.005-0.4520.0500.050-0.0520.0500.0500.0501.000
HVTrafo Phase3 Temp. Avg. [°C]-0.0420.0430.0430.4580.3160.047-0.0890.0540.5480.5450.5050.4450.0430.124-0.457-0.511-0.3940.4620.0710.1220.3650.8500.6110.909-0.090-0.0040.8540.8490.8400.8290.7990.8460.6870.0430.0430.8600.8900.8940.8920.8910.8920.7730.7790.7300.2620.5770.9470.8910.5470.7830.7870.7840.0060.5330.5200.4960.4550.7650.7670.6500.7130.3100.4660.058-0.0440.1680.1640.2370.9030.9050.8900.0430.0420.5050.9960.9781.000-0.4450.3050.736-0.1440.283-0.0200.443-0.3070.2810.4180.1760.0260.6690.3160.3160.5460.756-0.1230.3200.3980.0000.7190.395-0.0460.0350.0530.7730.7790.7300.2360.0420.025-0.028-0.4370.0430.042-0.0440.0430.0420.0431.000
HourCounters Average AlarmActive Avg. [h]-0.3120.3130.312-0.8770.0170.1630.205-0.0510.1010.0950.0210.1210.312-0.1050.6440.6530.643-0.4420.140-0.1080.068-0.575-0.060-0.4560.2380.070-0.588-0.584-0.588-0.601-0.606-0.583-0.6820.3130.311-0.562-0.568-0.536-0.540-0.542-0.548-0.557-0.526-0.559-0.303-0.262-0.463-0.496-0.468-0.518-0.528-0.525-0.0120.1260.1500.0370.104-0.493-0.488-0.361-0.548-0.235-0.2720.014-0.027-0.071-0.075-0.101-0.502-0.512-0.5380.3120.312-0.412-0.429-0.461-0.4451.000-0.711-0.278-0.366-0.665-0.110-0.9900.657-0.6950.003-0.124-0.307-0.2590.0170.017-0.568-0.266-0.348-0.233-0.127-0.053-0.496-0.210-0.3080.3130.304-0.566-0.528-0.570-0.3100.3120.3150.1200.9940.3130.312-0.3080.3120.3120.3121.000
HourCounters Average AmbientOk Avg. [h]0.201-0.201-0.2010.6750.286-0.114-0.1700.112-0.096-0.092-0.016-0.105-0.2010.249-0.491-0.491-0.4950.269-0.0950.166-0.0350.424-0.0500.296-0.284-0.0070.4190.4150.4190.4320.4360.4130.500-0.201-0.2010.4010.3990.3880.3850.3870.3910.4230.3760.4330.2330.2270.3210.3270.3070.4160.4170.4180.021-0.112-0.095-0.019-0.0370.2820.2780.2020.4110.0100.091-0.2530.2110.0520.0430.0640.3320.3470.374-0.201-0.2010.3280.2920.3270.305-0.7111.0000.1910.2710.9350.2790.731-0.9020.8960.0560.2410.3750.2440.2860.2860.3340.1760.2580.0030.0680.0360.2910.0010.197-0.199-0.1950.4290.3770.4370.212-0.201-0.202-0.074-0.656-0.201-0.2010.197-0.201-0.201-0.2011.000
HourCounters Average Gen1 Avg. [h]0.110-0.110-0.1100.2460.127-0.219-0.075-0.0360.6940.6920.6350.562-0.1100.012-0.397-0.427-0.3030.342-0.169-0.1790.1030.6290.3310.715-0.058-0.0170.7970.7980.7990.7970.7920.7930.487-0.110-0.1090.7500.7760.7030.7890.7890.7900.7890.7910.7550.2100.3070.6370.7240.4890.7940.7960.7960.0000.6860.6790.6520.5900.7950.7910.7060.7110.2460.526-0.0560.0640.2230.2350.3060.7710.7680.775-0.110-0.1100.2700.7310.7060.736-0.2780.1911.000-0.5080.180-0.0140.277-0.1970.1890.4690.133-0.0290.3380.1270.1270.4730.977-0.4590.2480.520-0.0220.7460.3960.107-0.111-0.1010.7920.7910.7560.188-0.110-0.118-0.259-0.273-0.110-0.1100.108-0.110-0.110-0.1101.000
HourCounters Average Gen2 Avg. [h]0.124-0.124-0.1240.3370.041-0.025-0.0200.069-0.273-0.283-0.214-0.294-0.1240.089-0.418-0.423-0.4690.286-0.0060.142-0.1460.131-0.187-0.073-0.088-0.0230.0130.0070.0120.0240.0310.0040.229-0.124-0.1240.0190.010-0.061-0.008-0.009-0.0060.0420.0120.0560.153-0.044-0.0480.0280.3490.0260.0270.0280.008-0.285-0.299-0.335-0.1910.0220.019-0.0600.0910.3520.0160.400-0.376-0.055-0.090-0.101-0.022-0.027-0.021-0.124-0.1240.010-0.149-0.115-0.144-0.3660.271-0.5081.0000.2540.0760.370-0.2440.2650.0730.1330.218-0.1110.0410.0410.440-0.4970.9290.340-0.2470.0340.0480.1520.123-0.128-0.1250.0410.0120.0560.150-0.124-0.119-0.046-0.364-0.124-0.1240.122-0.124-0.124-0.1241.000
HourCounters Average GridOk Avg. [h]0.206-0.207-0.2070.6590.315-0.136-0.2120.109-0.040-0.0350.043-0.049-0.2060.237-0.465-0.466-0.4700.254-0.1210.147-0.0590.410-0.0900.2680.022-0.0220.4000.3960.3990.4100.4120.3970.478-0.207-0.2070.3900.3900.3670.3690.3730.3770.4100.3680.4180.2570.2180.3090.3020.2990.4080.4080.4090.037-0.057-0.0510.039-0.0860.2500.2470.1670.397-0.0270.068-0.2990.2530.0570.0520.0660.3060.3220.350-0.206-0.2060.2840.2700.2990.283-0.6650.9350.1800.2541.0000.3000.687-0.9600.9560.0050.2590.3740.2180.3150.3150.2900.1670.242-0.0340.0610.0340.259-0.0330.202-0.207-0.2020.4160.3690.4220.233-0.207-0.208-0.103-0.619-0.207-0.2060.202-0.206-0.206-0.2061.000
HourCounters Average GridOn Avg. [h]-0.0700.0710.0700.2800.5890.057-0.036-0.012-0.076-0.0840.114-0.1160.0700.093-0.119-0.085-0.138-0.1090.0720.111-0.0080.033-0.013-0.0080.0110.0030.009-0.0020.0110.0270.0400.0100.0700.0700.0700.0030.0120.012-0.012-0.014-0.0120.072-0.0270.095-0.0510.0020.0000.0000.0340.0070.0070.0090.068-0.079-0.0020.096-0.105-0.015-0.0450.074-0.036-0.000-0.039-0.037-0.0550.0160.0010.007-0.003-0.002-0.0050.0700.0700.063-0.017-0.019-0.020-0.1100.279-0.0140.0760.3001.0000.197-0.0770.2870.0920.0060.0150.0380.5890.5890.073-0.0350.0710.005-0.0970.0040.000-0.002-0.0700.0820.0820.073-0.0270.108-0.0560.0710.0750.059-0.1410.0710.070-0.0700.0700.0700.0701.000
HourCounters Average Run Avg. [h]0.304-0.304-0.3030.8940.333-0.157-0.2070.051-0.104-0.099-0.019-0.127-0.3040.118-0.648-0.658-0.6460.434-0.1330.116-0.0680.5760.0600.455-0.235-0.0690.5870.5820.5870.6010.6070.5820.685-0.304-0.3030.5610.5670.5360.5370.5390.5450.5580.5240.5590.3020.2630.4620.4940.4700.5170.5270.5240.028-0.130-0.137-0.028-0.1100.4880.4840.3590.5450.2280.275-0.0270.0270.0730.0770.1020.5000.5100.536-0.304-0.3040.4160.4270.4590.443-0.9900.7310.2770.3700.6870.1971.000-0.6630.7160.0060.1270.3080.2610.3330.3330.5670.2630.3520.2280.1210.0530.4930.2040.300-0.303-0.2940.5670.5250.5700.308-0.304-0.306-0.115-0.984-0.304-0.3040.299-0.304-0.304-0.3041.000
HourCounters Average ServiceOn Avg. [h]-0.2340.2350.234-0.6160.2830.1610.216-0.1170.0200.013-0.0160.0210.234-0.2280.4540.4650.453-0.2950.148-0.1250.061-0.4240.087-0.289-0.030-0.006-0.421-0.421-0.419-0.425-0.423-0.417-0.4850.2350.234-0.412-0.408-0.388-0.393-0.397-0.402-0.410-0.400-0.411-0.289-0.230-0.327-0.321-0.308-0.430-0.429-0.4310.0020.0380.049-0.0150.061-0.271-0.277-0.154-0.4310.036-0.0830.306-0.284-0.053-0.052-0.064-0.326-0.343-0.3740.2340.234-0.284-0.293-0.324-0.3070.657-0.902-0.197-0.244-0.960-0.077-0.6631.000-0.9220.018-0.270-0.392-0.2200.2830.283-0.283-0.189-0.2330.044-0.098-0.035-0.2740.041-0.2300.2390.233-0.416-0.401-0.412-0.2650.2350.2370.1250.6010.2350.234-0.2300.2340.2340.2341.000
HourCounters Average TurbineOk Avg. [h]0.184-0.185-0.1850.6480.298-0.114-0.2280.086-0.066-0.0610.016-0.073-0.1840.248-0.489-0.490-0.4920.270-0.0940.173-0.0630.414-0.1020.2590.002-0.0560.4050.3990.4040.4190.4220.4010.488-0.185-0.1840.3870.3900.3870.3580.3620.3690.4270.3850.4330.2660.2160.3030.2960.3210.4310.4310.4320.021-0.085-0.0760.012-0.0880.2600.2570.1710.417-0.0660.044-0.3240.2780.0500.0440.0610.3010.3190.352-0.184-0.1840.2820.2690.2980.281-0.6950.8960.1890.2650.9560.2870.716-0.9221.000-0.0120.2720.3800.2160.2980.2980.2980.1760.250-0.0730.0680.0390.267-0.0670.180-0.184-0.1780.4350.3860.4420.248-0.185-0.185-0.082-0.653-0.185-0.1850.179-0.184-0.184-0.1841.000
HourCounters Average WindOk Avg. [h]0.021-0.021-0.0210.0160.117-0.1810.096-0.0320.7620.7230.7300.506-0.0220.048-0.517-0.529-0.4750.161-0.108-0.1670.0240.4840.1450.458-0.141-0.0170.5680.5570.5780.5530.5480.5610.289-0.021-0.0210.5100.5300.3780.5530.5510.5490.6190.5740.5820.2320.1140.3730.5660.6550.6280.6200.6240.0030.7600.7370.6980.7060.6450.6130.6630.5220.3860.2770.373-0.4280.1770.1530.2110.5480.5260.520-0.022-0.0220.0390.4220.3980.4180.0030.0560.4690.0730.0050.0920.0060.018-0.0121.0000.110-0.0480.0990.1170.1170.5950.4580.1450.4110.242-0.1910.6060.3900.021-0.023-0.0160.6070.5740.5790.192-0.021-0.023-0.2830.007-0.021-0.0220.021-0.022-0.022-0.0221.000
HourCounters Average Yaw Avg. [h]0.062-0.061-0.0610.1150.000-0.123-0.0970.1080.1380.2130.0120.349-0.0620.022-0.132-0.263-0.0440.437-0.0530.004-0.0410.220-0.0180.147-0.009-0.0100.2070.2100.2010.2080.1930.2030.193-0.061-0.0610.2200.2180.1730.2100.2110.2140.2450.3160.1530.3560.0800.1820.1820.1460.2730.2670.2670.0110.1380.214-0.0530.3250.1730.250-0.0260.3910.1100.326-0.1900.2390.0500.0520.0740.1770.1800.188-0.062-0.0620.0290.1740.1650.176-0.1240.2410.1330.1330.2590.0060.127-0.2700.2720.1101.0000.0870.0760.0000.0000.1320.1450.1240.0750.1380.1700.1660.1250.061-0.062-0.0590.2400.3140.1570.323-0.061-0.073-0.102-0.099-0.061-0.0620.061-0.062-0.062-0.0621.000
Hydraulic Oil Temp. Avg. [°C]0.199-0.198-0.1980.2940.315-0.086-0.0830.048-0.108-0.109-0.082-0.120-0.1980.093-0.207-0.193-0.2250.109-0.1020.049-0.1310.109-0.1780.013-0.0460.0140.1180.1240.1220.1260.1350.1230.211-0.198-0.1980.1260.1050.0660.0850.0880.0930.1070.1040.1070.151-0.0020.0300.0380.1330.1240.1250.1250.009-0.115-0.132-0.086-0.1260.0400.046-0.0150.133-0.056-0.022-0.1620.164-0.014-0.009-0.0120.0410.0490.074-0.198-0.1980.0310.0180.0460.026-0.3070.375-0.0290.2180.3740.0150.308-0.3920.380-0.0480.0871.000-0.0320.3150.3150.105-0.0370.212-0.062-0.004-0.0000.059-0.0850.197-0.200-0.1960.1090.1050.1100.149-0.198-0.197-0.067-0.282-0.198-0.1980.196-0.198-0.198-0.1981.000
Nacelle Temp. Avg. [°C]-0.4260.4250.4260.2730.3190.559-0.0070.0870.1800.1780.1830.1550.4270.227-0.113-0.152-0.1000.2420.5340.5810.7860.5470.7980.653-0.0870.0170.4340.4170.4100.4090.3670.4120.4590.4250.4260.4210.4890.6640.4740.4690.4700.3540.3500.3330.0530.8190.7360.5630.2120.3730.3770.3730.0030.1660.1730.1740.1240.3140.3090.2680.2860.0780.168-0.0540.0630.0270.0090.0740.5630.5710.5300.4270.4260.5760.6710.6400.669-0.2590.2440.338-0.1110.2180.0380.261-0.2200.2160.0990.076-0.0321.0000.3190.3190.1680.373-0.1330.0820.1950.0640.2730.153-0.4280.4220.4340.3510.3500.3350.0410.4250.4050.551-0.2470.4230.426-0.4270.4270.4260.4261.000
Power factor set point0.0370.0340.0410.5580.9940.0720.0890.0060.1110.1000.2960.2320.0370.1730.1820.2960.2960.1880.3160.3170.3160.3150.3140.3150.0000.0000.3150.3160.3150.3160.3180.3140.3180.0360.0390.1150.1160.3150.1310.1600.1560.0610.0900.2960.1900.3140.3140.3140.0920.0390.0350.0400.3140.0920.0720.0420.1500.0380.3220.1160.1940.0990.0360.0350.0620.1470.1470.1470.3140.3140.3150.0360.0400.2120.3150.3160.3160.0170.2860.1270.0410.3150.5890.3330.2830.2980.1170.0000.3150.3191.0000.9940.0620.0260.0180.0680.2090.0000.0150.0620.0150.0380.0450.0610.0880.2960.1970.0370.0660.3150.0060.0400.0340.0150.0370.0400.0371.000
Power factor set point source0.0370.0340.0410.5580.9940.0720.0890.0060.1110.1000.2960.2320.0370.1730.1820.2960.2960.1880.3160.3170.3160.3150.3140.3150.0000.0000.3150.3160.3150.3160.3180.3140.3180.0360.0390.1150.1160.3150.1310.1600.1560.0610.0900.2960.1900.3140.3140.3140.0920.0390.0350.0400.3140.0920.0720.0420.1500.0380.3220.1160.1940.0990.0360.0350.0620.1470.1470.1470.3140.3140.3150.0360.0400.2120.3150.3160.3160.0170.2860.1270.0410.3150.5890.3330.2830.2980.1170.0000.3150.3190.9941.0000.0620.0260.0180.0680.2090.0000.0150.0620.0150.0380.0450.0610.0880.2960.1970.0370.0660.3150.0060.0400.0340.0150.0370.0400.0371.000
Production LatestAverage Active Power Gen 0 Avg. [W]0.232-0.231-0.2300.5210.062-0.257-0.061-0.0070.4410.4160.4710.245-0.2320.063-0.783-0.788-0.7780.463-0.191-0.105-0.0660.7160.1660.617-0.154-0.0090.7750.7670.7780.7860.7890.7630.645-0.231-0.2300.7250.7440.5850.7480.7470.7480.7930.7290.7980.2320.1890.5320.7320.8490.7500.7540.755-0.0080.4230.3830.3990.3870.8310.7910.7610.7090.6040.4350.534-0.5380.1690.1460.2020.7240.7110.720-0.232-0.2310.2440.5380.5420.546-0.5680.3340.4730.4400.2900.0730.567-0.2830.2980.5950.1320.1050.1680.0620.0621.0000.4620.4500.6410.236-0.1800.8390.5490.230-0.241-0.2250.7920.7310.8000.214-0.231-0.232-0.324-0.576-0.230-0.2310.229-0.232-0.231-0.2311.000
Production LatestAverage Active Power Gen 1 Avg. [W]0.123-0.123-0.1230.2350.026-0.226-0.094-0.0430.7210.7200.6550.602-0.124-0.011-0.316-0.371-0.2290.405-0.178-0.1900.1340.6590.3640.734-0.050-0.0150.8110.8120.8100.8100.7940.8060.505-0.123-0.1230.7650.7850.7170.8040.8040.8040.8000.8100.7550.1730.3370.6540.7490.4810.8130.8140.8140.0010.7130.7070.6680.5900.8130.8110.7130.7080.2410.507-0.0320.0620.2250.2390.3040.7890.7850.791-0.124-0.1230.2620.7520.7140.756-0.2660.1760.977-0.4970.167-0.0350.263-0.1890.1760.4580.145-0.0370.3730.0260.0260.4621.000-0.4490.2420.526-0.0230.7680.3920.121-0.126-0.1130.8000.8100.7560.148-0.124-0.132-0.261-0.260-0.123-0.1230.122-0.123-0.123-0.1231.000
Production LatestAverage Active Power Gen 2 Avg. [W]0.159-0.159-0.1590.3230.018-0.060-0.0290.065-0.202-0.208-0.167-0.221-0.1590.083-0.449-0.467-0.4670.249-0.0340.102-0.1720.146-0.203-0.053-0.0770.0020.0560.0510.0600.0620.0700.0500.216-0.159-0.1590.0480.040-0.0480.0230.0230.0260.0860.0660.0640.250-0.067-0.0410.0520.3530.0740.0730.0750.010-0.212-0.222-0.276-0.1170.0780.075-0.0370.1460.3610.0300.347-0.325-0.030-0.058-0.0680.007-0.0000.012-0.159-0.1590.000-0.130-0.093-0.123-0.3480.258-0.4590.9290.2420.0710.352-0.2330.2500.1450.1240.212-0.1330.0180.0180.450-0.4491.0000.343-0.202-0.0430.1530.1510.159-0.177-0.1620.0840.0660.0660.247-0.159-0.158-0.079-0.346-0.159-0.1590.157-0.159-0.159-0.1591.000
Production LatestAverage Reactive Power Gen 0 Avg. [var]0.148-0.150-0.1490.2520.068-0.1760.0100.0120.3420.3270.3350.233-0.1480.000-0.433-0.445-0.4100.408-0.124-0.090-0.0050.4170.2080.421-0.0770.0120.4510.4510.4490.4670.4750.4380.364-0.150-0.1490.4340.4510.3120.4660.4610.4550.4590.4260.4580.0860.0920.3240.4820.4870.4000.4010.400-0.0070.3340.3290.2200.3300.5370.5280.4550.4040.9420.6330.591-0.4590.1140.0990.1440.4780.4540.433-0.148-0.1480.1200.3200.3050.320-0.2330.0030.2480.340-0.0340.0050.2280.044-0.0730.4110.075-0.0620.0820.0680.0680.6410.2420.3431.0000.1200.0730.5410.8640.150-0.156-0.1510.4580.4250.4510.056-0.150-0.150-0.214-0.257-0.151-0.1480.150-0.148-0.148-0.1481.000
Production LatestAverage Reactive Power Gen 1 Avg. [var]0.052-0.051-0.0510.1010.209-0.139-0.037-0.0050.3920.4030.3100.371-0.052-0.007-0.129-0.199-0.0570.294-0.114-0.1190.0900.3470.1910.385-0.032-0.0020.4300.4330.4270.4260.4090.4240.261-0.051-0.0510.4010.4130.3770.4270.4270.4270.4140.4570.3600.1920.2000.3440.3880.2630.4390.4400.440-0.0110.3900.3930.3080.3710.4400.4550.3130.4330.1520.340-0.0580.1330.1390.1480.1770.4170.4150.418-0.052-0.0520.1110.3960.3690.398-0.1270.0680.520-0.2470.061-0.0970.121-0.0980.0680.2420.138-0.0040.1950.2090.2090.2360.526-0.2020.1201.0000.0190.4020.4800.050-0.047-0.0510.4100.4570.3580.184-0.052-0.054-0.156-0.119-0.052-0.0520.050-0.052-0.052-0.0511.000
Production LatestAverage Reactive Power Gen 2 Avg. [var]-0.0780.0770.0770.0470.0000.052-0.0040.036-0.120-0.083-0.1790.0220.077-0.0170.0760.0130.1620.2940.0550.0860.043-0.0360.0620.010-0.023-0.032-0.055-0.050-0.063-0.050-0.051-0.0580.0290.0770.077-0.027-0.0220.033-0.035-0.034-0.035-0.0490.025-0.1110.1810.0850.034-0.030-0.219-0.052-0.052-0.0530.002-0.120-0.049-0.288-0.003-0.068-0.002-0.2850.0430.1960.334-0.2250.353-0.022-0.024-0.025-0.023-0.017-0.0280.0770.0770.0490.003-0.0020.000-0.0530.036-0.0220.0340.0340.0040.053-0.0350.039-0.1910.170-0.0000.0640.0000.000-0.180-0.023-0.0430.0730.0191.000-0.2030.289-0.0790.1190.079-0.0440.024-0.1130.1750.0770.0790.080-0.0500.0770.077-0.0770.0770.0770.0771.000
Production LatestAverage Total Active Power Avg. [W]0.261-0.261-0.2600.4520.015-0.302-0.110-0.0250.6550.6410.6260.486-0.2610.016-0.645-0.691-0.5880.527-0.231-0.1850.0050.7920.2670.749-0.116-0.0010.9060.9050.9120.9090.9010.8980.668-0.261-0.2600.8470.8620.7170.8740.8740.8750.9120.8990.8670.3120.2780.6530.8370.7410.9000.9010.9020.0020.6400.6170.5920.5480.9560.9400.8330.8220.5090.5550.304-0.2720.2300.2290.2920.8500.8390.855-0.261-0.2610.2700.7100.6940.719-0.4960.2910.7460.0480.2590.0000.493-0.2740.2670.6060.1660.0590.2730.0150.0150.8390.7680.1530.5410.402-0.2031.0000.5140.259-0.289-0.2520.9090.8990.8700.286-0.261-0.271-0.354-0.496-0.260-0.2610.259-0.261-0.261-0.2611.000
Production LatestAverage Total Reactive Power Avg. [var]0.097-0.099-0.0980.2230.062-0.1740.0050.0100.4060.4070.3630.342-0.097-0.014-0.350-0.396-0.2800.471-0.121-0.1040.0520.4340.2710.479-0.076-0.0030.4920.4930.4870.5040.5050.4780.367-0.099-0.0980.4740.4950.3840.5110.5060.5010.4970.4930.4620.1600.1610.3850.5150.4210.4490.4500.449-0.0080.4010.4160.2450.4120.5700.5770.4230.4660.8910.7120.418-0.2600.1420.1330.1800.5250.5060.483-0.097-0.0970.1390.3960.3690.395-0.2100.0010.3960.152-0.033-0.0020.2040.041-0.0670.3900.125-0.0850.1530.0620.0620.5490.3920.1510.8640.4800.2890.5141.0000.098-0.086-0.0990.4950.4920.4560.134-0.099-0.098-0.204-0.231-0.100-0.0970.099-0.098-0.097-0.0981.000
Reactive power generator 0,Total accumulated [var]1.000-0.999-0.9990.3270.015-0.777-0.253-0.0130.0400.0590.0250.069-0.999-0.243-0.196-0.232-0.1890.220-0.720-0.580-0.5830.096-0.473-0.026-0.0040.0130.2030.2190.2180.2220.2390.2230.128-0.999-0.9990.2570.163-0.0440.1690.1740.1730.2040.2180.1850.146-0.330-0.1030.0640.2000.1940.1950.1930.0180.0450.0320.0510.0260.2140.2280.1320.2430.1460.1740.0040.0310.1200.1840.1590.0700.0670.144-0.999-0.999-0.073-0.066-0.054-0.046-0.3080.1970.1070.1230.202-0.0700.300-0.2300.1800.0210.0610.197-0.4280.0150.0150.2300.1210.1590.1500.050-0.0790.2590.0981.000-0.993-0.9950.2040.2170.1870.143-0.999-0.988-0.688-0.304-0.998-0.9991.000-0.999-0.999-0.9991.000
Reactive power generator 1, Total accumulated [var]-0.9930.9940.994-0.3300.0380.7660.2500.011-0.046-0.064-0.028-0.0710.9930.2350.2010.2380.194-0.2290.7100.5700.576-0.1040.4690.018-0.002-0.016-0.211-0.228-0.227-0.230-0.246-0.232-0.1380.9940.994-0.263-0.1710.036-0.177-0.183-0.181-0.211-0.227-0.191-0.1510.3240.095-0.072-0.210-0.203-0.204-0.202-0.018-0.050-0.035-0.053-0.028-0.221-0.236-0.135-0.251-0.150-0.176-0.008-0.031-0.125-0.188-0.163-0.079-0.075-0.1530.9930.9930.0690.0560.0410.0350.313-0.199-0.111-0.128-0.2070.082-0.3030.239-0.184-0.023-0.062-0.2000.4220.0380.038-0.241-0.126-0.177-0.156-0.0470.119-0.289-0.086-0.9931.0000.992-0.211-0.227-0.193-0.1470.9940.9820.6810.3080.9930.993-0.9920.9930.9930.9931.000
Reactive power generator 2, Total accumulated [var]-0.9950.9950.995-0.3230.0450.7780.2540.012-0.036-0.055-0.016-0.0660.9950.2410.1940.2300.186-0.2170.7200.5770.583-0.0870.4780.0330.001-0.011-0.196-0.212-0.211-0.214-0.232-0.216-0.1220.9950.995-0.248-0.1560.053-0.163-0.168-0.167-0.196-0.212-0.176-0.1490.3310.110-0.056-0.199-0.187-0.188-0.186-0.017-0.040-0.027-0.043-0.025-0.206-0.222-0.122-0.239-0.147-0.172-0.004-0.032-0.119-0.182-0.157-0.063-0.060-0.1370.9950.9950.0730.0750.0590.0530.304-0.195-0.101-0.125-0.2020.082-0.2940.233-0.178-0.016-0.059-0.1960.4340.0450.045-0.225-0.113-0.162-0.151-0.0510.079-0.252-0.099-0.9950.9921.000-0.196-0.212-0.177-0.1460.9950.9840.6870.2990.9950.995-0.9940.9950.9950.9951.000
Rotor RPM Avg. [RPM]0.207-0.208-0.2070.5160.061-0.271-0.1090.0020.6820.6660.6730.499-0.2080.074-0.722-0.759-0.6570.534-0.200-0.1090.0470.8430.2670.792-0.104-0.0420.9580.9550.9620.9650.9590.9480.736-0.208-0.2070.8960.9210.7900.9210.9210.9240.9960.9630.9580.3850.3690.7220.8710.7700.9690.9700.9700.0070.6580.6400.6220.5620.9500.9380.8280.8800.4440.5320.178-0.1670.2310.2260.2940.8910.8840.897-0.208-0.2080.3240.7650.7500.773-0.5660.4290.7920.0410.4160.0730.567-0.4160.4350.6070.2400.1090.3510.0610.0610.7920.8000.0840.4580.410-0.0440.9090.4950.204-0.211-0.1961.0000.9640.9600.344-0.208-0.213-0.326-0.558-0.208-0.2080.205-0.208-0.208-0.2081.000
Rotor RPM Max. [RPM]0.221-0.221-0.2200.4730.088-0.285-0.1240.0150.6950.7020.6210.588-0.2210.038-0.658-0.740-0.5600.626-0.209-0.1260.0500.8300.2760.788-0.081-0.0300.9450.9440.9470.9420.9280.9350.720-0.221-0.2200.8880.9100.7830.9130.9130.9160.9680.9990.8870.5170.3780.7270.8620.7180.9650.9650.9640.0040.6740.6730.5710.6160.9430.9640.7460.9210.4290.6080.102-0.0670.2260.2280.2930.8810.8750.889-0.221-0.2210.3050.7700.7520.779-0.5280.3770.7910.0120.369-0.0270.525-0.4010.3860.5740.3140.1050.3500.0880.0880.7310.8100.0660.4250.4570.0240.8990.4920.217-0.227-0.2120.9641.0000.8880.474-0.221-0.231-0.327-0.515-0.221-0.2210.218-0.221-0.221-0.2211.000
Rotor RPM Min. [RPM]0.190-0.191-0.1900.5180.296-0.252-0.086-0.0080.6340.5910.6960.371-0.1910.100-0.723-0.711-0.7070.444-0.195-0.0980.0450.8100.2500.753-0.112-0.0480.9150.9100.9190.9290.9280.9050.719-0.191-0.1900.8540.8800.7540.8780.8780.8800.9550.8870.9960.2350.3540.6810.8280.7620.9200.9210.922-0.0110.6060.5690.6460.4700.9060.8690.8710.7900.4100.4480.243-0.2450.2190.2080.2730.8490.8440.855-0.191-0.1910.3230.7230.7110.730-0.5700.4370.7560.0560.4220.1080.570-0.4120.4420.5790.1570.1100.3350.2960.2960.8000.7560.0660.4510.358-0.1130.8700.4560.187-0.193-0.1770.9600.8881.0000.197-0.191-0.192-0.315-0.566-0.191-0.1910.187-0.191-0.191-0.1911.000
Rotor RPM StdDev [RPM]0.144-0.145-0.1440.2840.197-0.138-0.0900.0850.1800.2380.0430.322-0.1440.006-0.442-0.506-0.2890.340-0.080-0.001-0.0810.272-0.0310.2330.017-0.0120.3370.3390.3410.3140.3150.3380.298-0.145-0.1440.3130.3260.2640.3070.3090.3130.3560.4740.1950.9740.1320.2520.2580.2000.3580.3570.3540.0050.1710.2130.0190.2810.3060.3860.0480.4890.1160.432-0.2880.2650.0570.0770.0920.2710.2710.290-0.144-0.1440.0900.2270.2470.236-0.3100.2120.1880.1500.233-0.0560.308-0.2650.2480.1920.3230.1490.0410.1970.1970.2140.1480.2470.0560.1840.1750.2860.1340.143-0.147-0.1460.3440.4740.1971.000-0.144-0.156-0.124-0.300-0.145-0.1440.142-0.144-0.144-0.1441.000
Run hours [h]-1.0001.0001.000-0.3300.0370.7750.2550.013-0.041-0.059-0.026-0.0681.0000.2420.2000.2360.193-0.2230.7200.5770.579-0.1000.4710.0220.003-0.012-0.207-0.223-0.222-0.226-0.243-0.228-0.1321.0001.000-0.259-0.1670.040-0.173-0.178-0.177-0.208-0.222-0.189-0.1480.3260.099-0.067-0.206-0.199-0.199-0.198-0.018-0.045-0.032-0.052-0.027-0.217-0.231-0.134-0.247-0.146-0.173-0.003-0.032-0.122-0.186-0.161-0.074-0.071-0.1481.0001.0000.0700.0630.0500.0420.312-0.201-0.110-0.124-0.2070.071-0.3040.235-0.185-0.021-0.061-0.1980.4250.0370.037-0.231-0.124-0.159-0.150-0.0520.077-0.261-0.099-0.9990.9940.995-0.208-0.221-0.191-0.1441.0000.9880.6870.3081.0001.000-0.9991.0001.0001.0001.000
Service hours [h]-0.9880.9870.987-0.3360.0660.7690.2700.015-0.045-0.068-0.024-0.0840.9880.2560.2000.2410.188-0.2370.7110.5650.560-0.1130.4500.0050.003-0.014-0.216-0.232-0.231-0.233-0.249-0.236-0.1450.9870.987-0.273-0.1800.022-0.185-0.190-0.189-0.214-0.231-0.189-0.1590.3050.077-0.083-0.206-0.207-0.207-0.206-0.017-0.051-0.040-0.050-0.037-0.223-0.240-0.133-0.259-0.147-0.1830.003-0.040-0.114-0.175-0.156-0.089-0.086-0.1650.9880.9880.0450.0460.0320.0250.315-0.202-0.118-0.119-0.2080.075-0.3060.237-0.185-0.023-0.073-0.1970.4050.0660.066-0.232-0.132-0.158-0.150-0.0540.079-0.271-0.098-0.9880.9820.984-0.213-0.231-0.192-0.1560.9881.0000.6740.3100.9860.988-0.9880.9880.9880.9881.000
Spinner Temp. Avg. [°C]-0.6890.6860.687-0.1220.3150.9000.1660.047-0.324-0.322-0.294-0.2590.6890.2440.2560.2780.235-0.1970.8560.8390.655-0.1510.530-0.008-0.0670.004-0.291-0.310-0.309-0.309-0.327-0.314-0.0940.6860.687-0.324-0.2510.029-0.265-0.271-0.270-0.328-0.328-0.319-0.1440.4060.075-0.132-0.296-0.318-0.315-0.3180.007-0.327-0.312-0.292-0.282-0.352-0.355-0.311-0.332-0.207-0.214-0.1350.117-0.175-0.193-0.166-0.143-0.132-0.1800.6890.6890.229-0.020-0.005-0.0280.120-0.074-0.259-0.046-0.1030.059-0.1150.125-0.082-0.283-0.102-0.0670.5510.3150.315-0.324-0.261-0.079-0.214-0.1560.080-0.354-0.204-0.6880.6810.687-0.326-0.327-0.315-0.1240.6870.6741.0000.1200.6840.689-0.6880.6890.6890.6891.000
System Logs First Active Alarm No-0.3080.3080.307-0.8730.0060.1610.203-0.0410.0960.0900.0060.1200.308-0.0830.6370.6430.638-0.4280.137-0.0990.071-0.566-0.069-0.4520.2000.080-0.580-0.575-0.580-0.593-0.599-0.575-0.6730.3090.307-0.554-0.561-0.526-0.531-0.533-0.539-0.549-0.514-0.554-0.290-0.252-0.458-0.491-0.465-0.501-0.513-0.509-0.0150.1210.1470.0250.118-0.492-0.485-0.370-0.530-0.257-0.277-0.0210.008-0.073-0.078-0.102-0.497-0.506-0.5300.3080.308-0.403-0.422-0.452-0.4370.994-0.656-0.273-0.364-0.619-0.141-0.9840.601-0.6530.007-0.099-0.282-0.2470.0060.006-0.576-0.260-0.346-0.257-0.119-0.050-0.496-0.231-0.3040.3080.299-0.558-0.515-0.566-0.3000.3080.3100.1201.0000.3080.308-0.3030.3080.3080.3081.000
Total Active power [W]-0.9981.0001.000-0.3290.0400.7720.2570.014-0.041-0.060-0.027-0.0680.9980.2430.2010.2370.193-0.2230.7170.5730.575-0.0990.4690.0220.003-0.010-0.207-0.224-0.222-0.226-0.243-0.228-0.1321.0001.000-0.258-0.1660.040-0.172-0.178-0.176-0.208-0.222-0.189-0.1480.3240.099-0.068-0.209-0.199-0.200-0.198-0.018-0.046-0.033-0.053-0.027-0.216-0.231-0.134-0.248-0.148-0.173-0.003-0.032-0.123-0.187-0.162-0.075-0.071-0.1480.9980.9980.0700.0630.0500.0430.313-0.201-0.110-0.124-0.2070.071-0.3040.235-0.185-0.021-0.061-0.1980.4230.0400.040-0.230-0.123-0.159-0.151-0.0520.077-0.260-0.100-0.9980.9930.995-0.208-0.221-0.191-0.1451.0000.9860.6840.3081.0000.998-0.9980.9980.9980.9981.000
Total hour counter [h]-1.0001.0001.000-0.3310.0340.7770.2530.012-0.040-0.059-0.025-0.0681.0000.2410.2000.2360.193-0.2230.7210.5800.582-0.0990.4720.0230.004-0.012-0.207-0.223-0.222-0.226-0.243-0.227-0.1321.0001.000-0.260-0.1670.040-0.173-0.178-0.177-0.208-0.222-0.189-0.1480.3280.100-0.067-0.204-0.198-0.199-0.197-0.018-0.045-0.032-0.051-0.028-0.217-0.232-0.135-0.247-0.145-0.173-0.003-0.032-0.121-0.185-0.160-0.074-0.070-0.1481.0001.0000.0690.0630.0500.0420.312-0.201-0.110-0.124-0.2060.070-0.3040.234-0.185-0.022-0.062-0.1980.4260.0340.034-0.231-0.123-0.159-0.148-0.0520.077-0.261-0.097-0.9990.9930.995-0.208-0.221-0.191-0.1441.0000.9880.6890.3080.9981.000-0.9991.0001.0001.0001.000
Total reactive power [var]0.999-0.999-0.9990.3260.015-0.777-0.253-0.0130.0420.0600.0260.070-0.999-0.243-0.196-0.232-0.1880.221-0.720-0.580-0.5820.097-0.472-0.025-0.0040.0120.2030.2200.2180.2220.2390.2240.129-0.999-0.9990.2580.164-0.0430.1700.1750.1740.2050.2180.1850.146-0.330-0.1010.0650.2000.1950.1950.1940.0180.0460.0340.0520.0270.2150.2290.1330.2440.1470.1750.0050.0310.1200.1840.1590.0710.0680.145-0.999-0.999-0.072-0.065-0.052-0.044-0.3080.1970.1080.1220.202-0.0700.299-0.2300.1790.0210.0610.196-0.4270.0150.0150.2290.1220.1570.1500.050-0.0770.2590.0991.000-0.992-0.9940.2050.2180.1870.142-0.999-0.988-0.688-0.303-0.998-0.9991.000-0.999-0.999-0.9991.000
Turbine ok hours [h]-1.0001.0001.000-0.3310.0370.7780.2530.013-0.041-0.060-0.025-0.0691.0000.2410.2000.2360.193-0.2230.7210.5800.582-0.0990.4730.0230.004-0.012-0.207-0.223-0.222-0.226-0.243-0.227-0.1321.0001.000-0.259-0.1670.041-0.173-0.178-0.177-0.208-0.222-0.189-0.1480.3280.100-0.067-0.203-0.198-0.199-0.197-0.018-0.045-0.033-0.051-0.028-0.217-0.232-0.135-0.247-0.145-0.173-0.004-0.032-0.121-0.185-0.160-0.073-0.070-0.1481.0001.0000.0700.0640.0500.0430.312-0.201-0.110-0.124-0.2060.070-0.3040.234-0.184-0.022-0.062-0.1980.4270.0370.037-0.232-0.123-0.159-0.148-0.0520.077-0.261-0.098-0.9990.9930.995-0.208-0.221-0.191-0.1441.0000.9880.6890.3080.9981.000-0.9991.0001.0001.0001.000
Wind ok hours [h]-1.0001.0001.000-0.3310.0400.7770.2530.012-0.040-0.059-0.025-0.0681.0000.2410.2000.2360.193-0.2220.7210.5800.582-0.0990.4720.0230.004-0.012-0.207-0.223-0.222-0.226-0.243-0.227-0.1321.0001.000-0.259-0.1670.041-0.173-0.178-0.177-0.208-0.222-0.189-0.1480.3280.100-0.067-0.203-0.198-0.199-0.197-0.018-0.045-0.032-0.051-0.028-0.217-0.232-0.135-0.247-0.145-0.173-0.004-0.032-0.121-0.185-0.160-0.074-0.070-0.1481.0001.0000.0690.0630.0500.0420.312-0.201-0.110-0.124-0.2060.070-0.3040.234-0.184-0.022-0.062-0.1980.4260.0400.040-0.231-0.123-0.159-0.148-0.0520.077-0.261-0.097-0.9990.9930.995-0.208-0.221-0.191-0.1441.0000.9880.6890.3080.9981.000-0.9991.0001.0001.0001.000
Yaw hours [h]-1.0001.0001.000-0.3310.0370.7770.2530.012-0.040-0.059-0.025-0.0691.0000.2410.2000.2360.193-0.2220.7210.5800.582-0.0990.4720.0230.004-0.012-0.207-0.223-0.222-0.226-0.243-0.227-0.1321.0001.000-0.259-0.1670.041-0.173-0.178-0.177-0.208-0.222-0.189-0.1480.3280.100-0.067-0.203-0.198-0.199-0.197-0.018-0.045-0.032-0.051-0.027-0.217-0.232-0.135-0.247-0.145-0.173-0.004-0.032-0.121-0.185-0.160-0.074-0.070-0.1471.0001.0000.0690.0640.0500.0430.312-0.201-0.110-0.124-0.2060.070-0.3040.234-0.184-0.022-0.062-0.1980.4260.0370.037-0.231-0.123-0.159-0.148-0.0510.077-0.261-0.098-0.9990.9930.995-0.208-0.221-0.191-0.1441.0000.9880.6890.3080.9981.000-0.9991.0001.0001.0001.000
missing_data1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2025-05-15T14:06:36.461764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-15T14:06:37.323141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-15T14:06:40.668461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
02020-01-01 00:00:001080.01037.01050.05.045.040.041.041.024.053.029.053.0999.0999.055.049.00.056.055.054.065.063.024.0146.310.39.910.00.06.53.54.70.4-4.9141.45.00.034.035.034.035.0163.11.050.0568.2566.3563.791.095.6100.7251.2107.127.028.10.00.5-1.00.1162.0249.0106.028.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.024.020.030.063.031.011.0999.0-1.0-2.7-1.60.348.055.048.043.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0135950400.0114260464.0112730608.0112190904.0102242680.037453256.041893420.05290959.01320181.0111674152.078696704.00.00.027473.027473.00.00.00.00.0-125672.018245948.02793918.020914192.0-89663.0297.02635.0-86731.00.00.00.0False
12020-01-01 00:10:001058.01041.01049.02.045.040.040.040.023.053.028.053.0999.0999.055.049.00.055.055.054.065.063.024.0146.310.19.910.00.05.52.44.00.30.1146.45.00.031.033.032.033.082.71.050.0568.1566.5563.843.548.653.3155.020.027.027.40.00.5-1.00.182.0156.020.027.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.024.021.030.062.030.012.0999.0-0.1-1.9-0.80.248.055.048.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0482.00.0135954000.0114261056.0112731208.0112191504.0102243280.037453256.041894020.05290959.01320181.0111674752.078697192.00.00.014227.014227.00.00.00.00.0-125672.018245948.02793932.020914208.0-89663.0297.02635.0-86731.00.00.00.0False
22020-01-01 00:20:001060.01041.01050.03.045.039.040.040.024.053.029.053.0999.0999.055.049.00.055.055.054.065.063.024.0146.310.19.910.00.06.22.74.50.5-0.1146.25.00.034.035.034.035.0141.81.050.0569.0567.6564.978.183.387.7222.933.627.052.90.00.5-1.10.1141.0225.033.052.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.024.020.029.062.031.012.0999.00.1-2.5-1.30.548.055.048.043.0600.0600.0600.0600.0600.00.0600.00.00.0600.0416.00.0135954000.0114261664.0112731808.0112192104.0102243880.037453256.041894620.05290959.01320181.0111675352.078697608.00.00.023378.023378.00.00.00.00.0-125672.018245948.02793956.020914232.0-89663.0297.02635.0-86731.00.00.00.0False
32020-01-01 00:30:001158.01041.01066.024.045.040.040.040.022.053.028.053.0999.0999.055.049.00.056.055.054.065.063.024.0146.311.19.910.10.26.94.25.40.5-1.3145.05.00.034.034.033.034.0252.71.050.0569.4567.8565.1143.0148.4153.1323.1190.727.031.10.00.5-1.00.1252.0323.0189.031.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.024.020.031.062.031.012.0999.0-1.8-2.8-2.40.148.055.048.041.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0135954000.0114262256.0112732408.0112192704.0102244480.037453256.041895220.05290959.01320181.0111675952.078698208.00.00.041898.041898.00.00.00.00.0-125672.018245948.02793997.020914272.0-89663.0297.02635.0-86731.00.00.00.0False
42020-01-01 00:40:001076.01035.01051.06.045.040.041.041.023.053.028.054.0999.0999.056.049.00.057.056.055.065.063.024.0146.310.39.910.00.06.53.55.00.5-3.1143.25.00.035.035.034.035.0214.11.050.0570.1568.7566.0120.2125.6130.0273.6140.327.032.10.00.5-1.00.1213.0274.0139.032.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.024.021.034.063.032.012.0999.0-1.1-2.7-2.00.448.055.048.043.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0135954000.0114262864.0112733008.0112193304.0102245088.037453256.041895824.05290959.01320181.0111676552.078698808.00.00.036138.036138.00.00.00.00.0-125672.018245948.02794034.020914308.0-89663.0297.02635.0-86731.00.00.00.0False
52020-01-01 00:50:001059.01033.01049.04.045.040.041.041.023.053.028.054.0999.0999.056.049.00.056.055.055.065.063.024.0146.310.19.910.00.06.43.24.60.4-3.6142.75.00.033.034.033.034.0156.51.050.0571.2569.3566.986.591.696.0232.957.727.035.10.00.5-1.00.1156.0233.057.035.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.023.020.033.064.031.012.0999.0-0.3-2.5-1.40.448.055.048.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0135954000.0114263456.0112733608.0112193904.0102245680.037453256.041896420.05290959.01320181.0111677152.078699408.00.00.026220.026220.00.00.0-1.0-1.0-125672.018245948.02794060.020914336.0-89663.0297.02635.0-86731.00.00.00.0False
62020-01-01 01:00:001061.01039.01049.03.045.040.040.040.025.053.028.054.0999.0999.055.049.00.056.055.054.065.063.024.0146.310.19.910.00.06.33.64.60.4-4.0142.35.00.034.034.034.034.0165.01.050.0571.3569.8567.091.296.4101.0210.1117.427.019.90.00.5-1.00.1164.0210.0116.020.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.023.020.031.064.031.012.0999.0-0.9-2.2-1.50.248.055.048.044.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0135954000.0114264064.0112734208.0112194504.0102246280.037453256.041897020.05290959.01320181.0111677752.078700008.00.00.027540.027540.00.00.00.00.0-125672.018245948.02794087.020914364.0-89663.0297.02635.0-86731.00.00.00.0False
72020-01-01 01:10:001118.01039.01056.011.045.040.040.040.023.053.028.054.0999.0999.055.049.00.056.055.055.065.063.024.0146.310.79.910.00.17.04.15.20.4-4.9141.45.00.035.034.034.034.0228.41.050.0570.6569.0566.5128.7133.9138.0308.8153.227.027.90.00.5-1.10.1228.0309.0151.028.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.024.021.030.064.031.012.0999.0-1.4-2.8-2.30.248.055.048.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0135957600.0114264656.0112734808.0112195104.0102246880.037453256.041897620.05290959.01320181.0111678352.078700608.00.00.037858.037858.00.00.00.00.0-125672.018245948.02794125.020914400.0-89663.0297.02635.0-86731.00.00.00.0False
82020-01-01 01:20:001152.01045.01065.019.045.040.041.041.025.053.028.053.0999.0999.056.049.00.057.056.055.065.063.024.0146.311.010.010.10.17.14.35.40.4-6.6139.75.00.034.034.033.034.0254.51.050.0572.1570.2567.7143.3149.5152.8371.7193.127.030.00.00.5-1.00.1254.0372.0191.030.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.024.021.030.064.030.012.0999.0-1.8-2.8-2.40.148.055.048.044.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0135957600.0114265264.0112735408.0112195704.0102247480.037453256.041898220.05290959.01320181.0111678952.078701208.00.00.042371.042371.00.00.00.00.0-125672.018245948.02794168.020914444.0-89663.0297.02635.0-86731.00.00.00.0False
92020-01-01 01:30:001183.01044.01082.032.045.040.041.041.025.053.028.046.0999.0999.056.049.00.058.056.055.065.063.024.0147.611.310.010.30.37.13.75.50.5-6.2141.55.00.035.035.034.034.0270.01.050.0573.0571.4569.1152.3158.0161.6436.7190.327.039.10.00.6-1.10.1269.0436.0189.039.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.024.020.030.065.031.012.0999.0-1.7-2.8-2.40.148.055.048.044.0600.0600.0600.0600.0600.00.0600.023.00.0600.0600.00.0135957600.0114265864.0112736008.0112196304.0102248080.037453256.041898820.05290982.01320181.0111679552.078701808.00.00.044822.044822.00.00.00.00.0-125672.018245948.02794212.020914488.0-89663.0297.02635.0-86731.00.00.00.0False
TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
261982020-06-30 22:20:001475.01289.01382.037.046.052.053.053.035.062.037.047.0999.0999.060.049.00.065.062.059.067.066.035.0332.614.112.313.10.38.95.97.20.4-2.2330.424.00.039.042.041.041.0544.51.050.0572.1569.8567.7311.6318.8322.7657.8428.738.041.10.00.4-1.10.1544.0661.0417.042.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.034.044.074.039.028.0999.0-2.3-2.8-2.50.056.064.057.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0151671600.0129606096.0126865512.0126184072.0115071112.042029584.047699040.05955334.02517382.0125661016.089673264.00.00.090800.090800.00.00.00.00.0-140373.020375584.03451341.023686552.0-99606.0343.02992.0-96271.00.00.00.0False
261992020-06-30 22:30:001447.01288.01380.032.046.052.053.053.035.063.037.049.0999.0999.060.049.00.065.062.059.067.066.035.0332.813.812.313.10.38.75.77.20.4-0.3332.524.00.039.042.041.041.0523.01.050.0574.0571.7569.6297.9305.3309.2636.3351.838.047.30.00.5-1.00.1522.0637.0349.047.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.033.044.074.039.028.0999.0-2.3-2.8-2.50.057.065.057.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0151671600.0129606688.0126866112.0126184672.0115071712.042029584.047699640.05955334.02517382.0125661616.089673872.00.00.087380.087380.00.00.00.00.0-140373.020375584.03451428.023686640.0-99606.0343.02992.0-96271.00.00.00.0False
262002020-06-30 22:40:001421.01256.01349.023.047.052.053.053.035.063.037.051.0999.0999.060.049.00.065.062.059.067.066.035.0335.813.612.012.80.28.45.57.10.40.6336.424.00.039.042.041.040.0502.71.050.0575.1572.8570.7285.6293.1296.7632.2348.138.040.00.00.6-0.90.1502.0634.0339.040.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.033.044.074.039.028.0999.0-2.3-2.8-2.50.057.065.057.046.0600.0600.0600.0600.0600.00.0600.015.00.0600.0600.00.0151671600.0129607296.0126866712.0126185272.0115072312.042029584.047700240.05955349.02517382.0125662216.089674464.00.00.083521.083521.00.00.00.00.0-140373.020375584.03451511.023686724.0-99606.0343.02992.0-96271.00.00.00.0False
262012020-06-30 22:50:001407.01277.01338.030.046.051.053.053.035.062.037.052.0999.0999.059.049.00.064.061.059.067.066.035.0340.313.412.212.70.28.65.87.00.4-1.4338.924.00.039.042.041.040.0480.81.050.0575.4573.0570.4272.3279.9284.6570.0370.238.038.70.00.5-0.90.1480.0569.0366.039.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.035.033.044.074.039.027.0999.0-2.4-2.8-2.50.057.065.057.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0151671600.0129607888.0126867312.0126185872.0115072912.042029584.047700840.05955349.02517382.0125662816.089675072.00.00.079780.079780.00.00.00.00.0-140373.020375584.03451591.023686802.0-99606.0343.02992.0-96271.00.00.00.0False
262022020-06-30 23:00:001333.01203.01267.027.046.051.052.052.034.062.036.053.0999.0999.059.049.00.063.061.058.066.065.035.0341.912.711.512.00.28.05.66.60.40.4342.424.00.040.041.041.040.0421.11.050.0576.0573.2570.5237.2245.4249.9548.2268.138.044.40.00.5-1.00.1420.0550.0270.044.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.035.033.044.074.039.027.0999.0-2.3-2.8-2.50.057.065.058.046.0600.0600.0600.0600.0600.00.0600.014.00.0600.0600.00.0151671600.0129608488.0126867912.0126186472.0115073512.042029584.047701440.05955363.02517382.0125663416.089675664.00.00.070295.070295.00.00.00.00.0-140373.020375584.03451662.023686872.0-99606.0343.02992.0-96271.00.00.00.0False
262032020-06-30 23:10:001299.01144.01227.032.046.050.052.052.034.061.036.052.0999.0999.058.049.00.062.060.058.066.065.035.0347.212.410.911.70.37.75.16.40.3-4.1343.224.00.041.042.041.040.0370.61.050.0576.5573.6571.0207.6216.0220.2461.0270.238.036.90.00.5-0.90.1370.0461.0268.037.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.035.033.044.074.039.027.0999.0-2.3-2.8-2.50.057.065.058.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0151675200.0129609088.0126868512.0126187072.0115074112.042029584.047702040.05955363.02517382.0125664016.089676272.00.00.061971.061971.00.00.00.00.0-140373.020375584.03451723.023686936.0-99606.0343.02992.0-96271.00.00.00.0False
262042020-06-30 23:20:001246.01106.01172.030.046.050.051.052.034.061.037.045.0999.0999.058.049.00.061.059.057.065.064.035.0347.211.910.611.10.27.65.16.10.3-4.7342.624.00.041.042.041.040.0315.31.050.0576.0572.9570.4175.9184.2188.1389.4233.638.030.90.00.5-0.90.1314.0389.0233.031.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.035.033.044.075.040.027.0999.0-2.3-2.8-2.50.057.065.058.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0151675200.0129609688.0126869112.0126187672.0115074712.042029584.047702640.05955363.02517382.0125664616.089676864.00.00.052906.052906.00.00.00.00.0-140373.020375584.03451776.023686988.0-99606.0343.02992.0-96271.00.00.00.0False
262052020-06-30 23:30:001200.01045.01099.030.046.050.051.051.034.060.036.045.0999.0999.057.049.00.060.059.056.065.064.035.0347.211.410.010.40.26.94.75.70.4-3.6343.724.00.041.041.040.040.0273.01.050.0574.7570.8568.8151.5160.5163.8349.9205.738.029.80.00.5-0.90.1272.0351.0203.029.00.00.00.00.00.00.00.00.03000.011.00.01.011.030.035.033.044.075.039.027.0999.0-2.3-2.8-2.50.058.065.058.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0151675200.0129610288.0126869712.0126188272.0115075312.042029584.047703240.05955363.02517382.0125665216.089677464.00.00.045528.045528.00.00.00.00.0-140373.020375584.03451822.023687032.0-99606.0343.02992.0-96271.00.00.00.0False
262062020-06-30 23:40:001134.01046.01070.018.045.049.050.051.034.060.036.048.0999.0999.056.049.00.059.058.056.065.064.035.0347.210.810.010.20.16.94.55.50.4-2.8344.525.00.040.040.040.039.0229.81.050.0572.7568.9567.0126.6135.7139.0307.0125.838.024.90.00.6-1.00.1229.0308.0125.025.00.00.00.00.00.00.00.00.03000.011.00.01.011.030.035.033.044.076.038.027.0999.0-2.0-2.8-2.50.158.065.058.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0151675200.0129610888.0126870312.0126188872.0115075912.042029584.047703840.05955363.02517382.0125665816.089678064.00.00.038352.038352.00.00.00.00.0-140373.020375584.03451860.023687072.0-99606.0343.02992.0-96271.00.00.00.0False
262072020-06-30 23:50:001082.01041.01051.05.045.049.050.050.034.059.036.050.0999.0999.056.049.00.058.058.056.064.063.035.0347.210.39.910.00.06.64.35.10.3-1.1346.225.00.039.040.039.039.0200.11.050.0570.4566.3564.5109.7118.8122.1244.5162.938.015.90.00.5-1.00.1199.0245.0162.016.00.00.00.00.00.00.00.00.03000.011.00.01.011.030.035.033.044.076.038.027.0999.0-1.3-2.7-2.10.257.065.058.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0151675200.0129611488.0126870912.0126189472.0115076512.042029584.047704440.05955363.02517382.0125666416.089678672.00.00.033087.033087.00.00.00.00.0-140373.020375584.03451893.023687104.0-99606.0343.02992.0-96271.00.00.00.0False